----------------------------------------------------------------------------------------------------------------
       log:  C:\Users\Public\Documents\Old\Lavoro Gregory\intra_firm_extensive_Tables_3_to_5.log
  log type:  text
 opened on:   4 Sep 2013, 13:06:19

. 
. set more off

. 
. use "Calcoli\Final_database_extensive_JIE.dta", clear

. 
. sort siren

. 
. merge siren using Calcoli\Selection_firm_JIE.dta
variable siren does not uniquely identify observations in the master data

. drop _merge

. rename IM_firm IM

. replace  IM=0 if  IM==.
(962463 real changes made)

. keep if  EIIG==1 | champ_theorique==0 
(104145 observations deleted)

. sort siren

. merge siren using "Calcoli\random_no_EIIG_champs_theorique_JIE.dta"
variable siren does not uniquely identify observations in the master data

. keep if  EIIG==1 | champ_theorique==0 &  random_no_EIIG_champs_theorique==1
(755829 observations deleted)

. 
. 
. ****do some tables*****************************************
. preserve

. 
. gen sample=ln_lp_tfprod + ln_capital_intensity_firm + ln_wage_based_skills_firm
(184477 missing values generated)

. keep if sample!=.
(184477 observations deleted)

. 
. collapse (mean) ln_lp_tfprod ln_capital_intensity_firm ln_wage_based_skills_firm, by (siren  nace_rev1_3dig)

. 
. 
. su  ln_lp_tfprod ln_capital_intensity_firm   ln_wage_based_skills_firm 

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
ln_lp_tfprod |      5134    3.995451    1.930923  -55.83788   11.14616
ln_capital~m |      5134    3.754681    .9764392  -6.709239   7.474308
ln_wage_ba~m |      5134    3.107524    .3484323   -6.69514   5.358417

. corr ln_lp_tfprod ln_capital_intensity_firm  ln_wage_based_skills_firm  
(obs=5134)

             | ln_lp_~d ln_cap~m ln_wag~m
-------------+---------------------------
ln_lp_tfprod |   1.0000
ln_capital~m |   0.0357   1.0000
ln_wage_ba~m |   0.1474   0.1751   1.0000


. 
. egen ln_lp_tfprod_aver=mean(ln_lp_tfprod), by (nace_rev1_3dig)

. gen  ln_lp_tfprod2=ln_lp_tfprod- ln_lp_tfprod_aver

. drop ln_lp_tfprod_aver

. 
. egen ln_capital_intensity_firm_aver=mean(ln_capital_intensity_firm), by (nace_rev1_3dig)

. gen  ln_capital_intensity_firm2=ln_capital_intensity_firm- ln_capital_intensity_firm_aver

. drop ln_capital_intensity_firm_aver

. 
. egen ln_wage_based_skills_firm_aver=mean(ln_wage_based_skills_firm), by (nace_rev1_3dig)

. gen  ln_wage_based_skills_firm2=ln_wage_based_skills_firm- ln_wage_based_skills_firm_aver

. drop ln_wage_based_skills_firm_aver

. 
. su  ln_lp_tfprod2 ln_capital_intensity_firm2   ln_wage_based_skills_firm2

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
ln_lp_tfpr~2 |      5134    1.19e-08     .456263  -2.676054   4.573174
ln_capital~2 |      5134   -9.73e-09    .7861037  -11.72547   2.458076
ln_wage_ba~2 |      5134    4.88e-10    .3086452  -9.688711    2.02801

. corr ln_lp_tfprod2 ln_capital_intensity_firm2   ln_wage_based_skills_firm2
(obs=5134)

             | ln_lp_~2 ln_cap~2 ln_wag~2
-------------+---------------------------
ln_lp_tfpr~2 |   1.0000
ln_capital~2 |   0.0942   1.0000
ln_wage_ba~2 |   0.3505   0.1323   1.0000


. 
. restore

. 
. ************************
. 
. *****do a nice figure********************
. gen  ln_intra_firm_val= ln(val) if  intra_firm==1
(257688 missing values generated)

. gen  ln_outs_firm_val= ln(val) if  intra_firm==0
(24196 missing values generated)

. twoway (kdensity ln_intra_firm_val, lcolor(black) lpattern(solid)) (kdensity ln_outs_firm_val, lcolor(black) l
> pattern(dash))

. graph save Graph "C:\Users\Public\Documents\Old\Lavoro Gregory\Calcoli\Intra_Outs_values.gph", replace
(file C:\Users\Public\Documents\Old\Lavoro Gregory\Calcoli\Intra_Outs_values.gph saved)

. drop ln_intra_firm_val ln_outs_firm_val

. 
. drop if  ln_lp_tfprod==.
(183251 observations deleted)

. gen sample=ln_lp_tfprod +ln_capital_intensity_firm + ln_wage_based_skills_firm
(1226 missing values generated)

. keep if sample!=.
(1226 observations deleted)

. 
. 
. egen ln_lp_tfprod_aver=mean(ln_lp_tfprod), by (nace_rev1_3dig)

. gen  ln_lp_tfprod2=ln_lp_tfprod- ln_lp_tfprod_aver

. drop ln_lp_tfprod_aver

. 
. xi i.pays, pref(pays)
i.pays            payspays_1-185      (payspays_1 for pays==AD omitted)

. xi i.cpa_4, pref(cpa)
i.cpa_4           cpacpa_4_1-270      (cpacpa_4_1 for cpa_4==0111 omitted)

. 
. 
. gen ln_size1=log(size_caht)

. gen ln_size2=log(size_emp)

. destring  siren, generate(siren_number)
siren has all characters numeric; siren_number generated as long

. 
. ************table 5************
. local instruct "tex tdec(4) rdec(4) auto(4) bdec(4) sdec(4) symbol($^a$,$^b$,$^c$)  se"

. 
. probit intra_firm ln_lp_tfprod2  IM  payspays* cpacpa*, cluster(siren_number)

note: payspays_2 != 0 predicts failure perfectly
      payspays_2 dropped and 28 obs not used

note: payspays_4 != 0 predicts failure perfectly
      payspays_4 dropped and 5 obs not used

note: payspays_5 != 0 predicts failure perfectly
      payspays_5 dropped and 1 obs not used

note: payspays_6 != 0 predicts failure perfectly
      payspays_6 dropped and 2 obs not used

note: payspays_16 != 0 predicts failure perfectly
      payspays_16 dropped and 3 obs not used

note: payspays_20 != 0 predicts failure perfectly
      payspays_20 dropped and 4 obs not used

note: payspays_21 != 0 predicts success perfectly
      payspays_21 dropped and 1 obs not used

note: payspays_22 != 0 predicts failure perfectly
      payspays_22 dropped and 8 obs not used

note: payspays_24 != 0 predicts failure perfectly
      payspays_24 dropped and 3 obs not used

note: payspays_28 != 0 predicts failure perfectly
      payspays_28 dropped and 5 obs not used

note: payspays_29 != 0 predicts failure perfectly
      payspays_29 dropped and 21 obs not used

note: payspays_32 != 0 predicts failure perfectly
      payspays_32 dropped and 60 obs not used

note: payspays_37 != 0 predicts failure perfectly
      payspays_37 dropped and 10 obs not used

note: payspays_41 != 0 predicts failure perfectly
      payspays_41 dropped and 6 obs not used

note: payspays_43 != 0 predicts failure perfectly
      payspays_43 dropped and 2 obs not used

note: payspays_47 != 0 predicts failure perfectly
      payspays_47 dropped and 25 obs not used

note: payspays_52 != 0 predicts failure perfectly
      payspays_52 dropped and 2 obs not used

note: payspays_54 != 0 predicts failure perfectly
      payspays_54 dropped and 23 obs not used

note: payspays_56 != 0 predicts failure perfectly
      payspays_56 dropped and 2 obs not used

note: payspays_58 != 0 predicts failure perfectly
      payspays_58 dropped and 6 obs not used

note: payspays_60 != 0 predicts failure perfectly
      payspays_60 dropped and 3 obs not used

note: payspays_62 != 0 predicts failure perfectly
      payspays_62 dropped and 12 obs not used

note: payspays_63 != 0 predicts failure perfectly
      payspays_63 dropped and 9 obs not used

note: payspays_66 != 0 predicts failure perfectly
      payspays_66 dropped and 3 obs not used

note: payspays_80 != 0 predicts failure perfectly
      payspays_80 dropped and 11 obs not used

note: payspays_84 != 0 predicts failure perfectly
      payspays_84 dropped and 3 obs not used

note: payspays_86 != 0 predicts failure perfectly
      payspays_86 dropped and 3 obs not used

note: payspays_90 != 0 predicts failure perfectly
      payspays_90 dropped and 1 obs not used

note: payspays_93 != 0 predicts failure perfectly
      payspays_93 dropped and 23 obs not used

note: payspays_95 != 0 predicts failure perfectly
      payspays_95 dropped and 46 obs not used

note: payspays_96 != 0 predicts failure perfectly
      payspays_96 dropped and 2 obs not used

note: payspays_97 != 0 predicts failure perfectly
      payspays_97 dropped and 1 obs not used

note: payspays_103 != 0 predicts failure perfectly
      payspays_103 dropped and 4 obs not used

note: payspays_105 != 0 predicts failure perfectly
      payspays_105 dropped and 1 obs not used

note: payspays_107 != 0 predicts failure perfectly
      payspays_107 dropped and 2 obs not used

note: payspays_110 != 0 predicts failure perfectly
      payspays_110 dropped and 15 obs not used

note: payspays_111 != 0 predicts failure perfectly
      payspays_111 dropped and 1 obs not used

note: payspays_116 != 0 predicts failure perfectly
      payspays_116 dropped and 3 obs not used

note: payspays_117 != 0 predicts failure perfectly
      payspays_117 dropped and 4 obs not used

note: payspays_118 != 0 predicts failure perfectly
      payspays_118 dropped and 3 obs not used

note: payspays_119 != 0 predicts failure perfectly
      payspays_119 dropped and 3 obs not used

note: payspays_121 != 0 predicts failure perfectly
      payspays_121 dropped and 6 obs not used

note: payspays_124 != 0 predicts failure perfectly
      payspays_124 dropped and 10 obs not used

note: payspays_126 != 0 predicts failure perfectly
      payspays_126 dropped and 3 obs not used

note: payspays_129 != 0 predicts failure perfectly
      payspays_129 dropped and 6 obs not used

note: payspays_130 != 0 predicts failure perfectly
      payspays_130 dropped and 3 obs not used

note: payspays_134 != 0 predicts failure perfectly
      payspays_134 dropped and 3 obs not used

note: payspays_136 != 0 predicts failure perfectly
      payspays_136 dropped and 6 obs not used

note: payspays_137 != 0 predicts failure perfectly
      payspays_137 dropped and 2 obs not used

note: payspays_138 != 0 predicts failure perfectly
      payspays_138 dropped and 137 obs not used

note: payspays_140 != 0 predicts failure perfectly
      payspays_140 dropped and 2 obs not used

note: payspays_141 != 0 predicts failure perfectly
      payspays_141 dropped and 13 obs not used

note: payspays_144 != 0 predicts failure perfectly
      payspays_144 dropped and 2 obs not used

note: payspays_151 != 0 predicts failure perfectly
      payspays_151 dropped and 3 obs not used

note: payspays_153 != 0 predicts failure perfectly
      payspays_153 dropped and 23 obs not used

note: payspays_154 != 0 predicts failure perfectly
      payspays_154 dropped and 3 obs not used

note: payspays_155 != 0 predicts failure perfectly
      payspays_155 dropped and 7 obs not used

note: payspays_158 != 0 predicts failure perfectly
      payspays_158 dropped and 2 obs not used

note: payspays_159 != 0 predicts failure perfectly
      payspays_159 dropped and 1 obs not used

note: payspays_162 != 0 predicts failure perfectly
      payspays_162 dropped and 3 obs not used

note: payspays_166 != 0 predicts failure perfectly
      payspays_166 dropped and 5 obs not used

note: payspays_173 != 0 predicts failure perfectly
      payspays_173 dropped and 17 obs not used

note: payspays_174 != 0 predicts failure perfectly
      payspays_174 dropped and 2 obs not used

note: payspays_176 != 0 predicts failure perfectly
      payspays_176 dropped and 2 obs not used

note: payspays_179 != 0 predicts failure perfectly
      payspays_179 dropped and 2 obs not used

note: payspays_183 != 0 predicts failure perfectly
      payspays_183 dropped and 8 obs not used

note: payspays_184 != 0 predicts failure perfectly
      payspays_184 dropped and 8 obs not used

note: cpacpa_4_2 != 0 predicts failure perfectly
      cpacpa_4_2 dropped and 52 obs not used

note: cpacpa_4_3 != 0 predicts failure perfectly
      cpacpa_4_3 dropped and 116 obs not used

note: cpacpa_4_4 != 0 predicts failure perfectly
      cpacpa_4_4 dropped and 18 obs not used

note: cpacpa_4_5 != 0 predicts failure perfectly
      cpacpa_4_5 dropped and 30 obs not used

note: cpacpa_4_6 != 0 predicts failure perfectly
      cpacpa_4_6 dropped and 15 obs not used

note: cpacpa_4_7 != 0 predicts failure perfectly
      cpacpa_4_7 dropped and 12 obs not used

note: cpacpa_4_8 != 0 predicts failure perfectly
      cpacpa_4_8 dropped and 50 obs not used

note: cpacpa_4_9 != 0 predicts failure perfectly
      cpacpa_4_9 dropped and 74 obs not used

note: cpacpa_4_10 != 0 predicts failure perfectly
      cpacpa_4_10 dropped and 73 obs not used

note: cpacpa_4_11 != 0 predicts failure perfectly
      cpacpa_4_11 dropped and 6 obs not used

note: cpacpa_4_12 != 0 predicts failure perfectly
      cpacpa_4_12 dropped and 1 obs not used

note: cpacpa_4_13 != 0 predicts failure perfectly
      cpacpa_4_13 dropped and 7 obs not used

note: cpacpa_4_27 != 0 predicts failure perfectly
      cpacpa_4_27 dropped and 2 obs not used

note: cpacpa_4_29 != 0 predicts failure perfectly
      cpacpa_4_29 dropped and 6 obs not used

note: cpacpa_4_30 != 0 predicts failure perfectly
      cpacpa_4_30 dropped and 7 obs not used

note: cpacpa_4_31 != 0 predicts failure perfectly
      cpacpa_4_31 dropped and 3 obs not used

note: cpacpa_4_33 != 0 predicts failure perfectly
      cpacpa_4_33 dropped and 6 obs not used

note: cpacpa_4_36 != 0 predicts failure perfectly
      cpacpa_4_36 dropped and 23 obs not used

note: cpacpa_4_38 != 0 predicts failure perfectly
      cpacpa_4_38 dropped and 2 obs not used

note: cpacpa_4_42 != 0 predicts failure perfectly
      cpacpa_4_42 dropped and 58 obs not used

note: cpacpa_4_72 != 0 predicts failure perfectly
      cpacpa_4_72 dropped and 3 obs not used

note: cpacpa_4_73 != 0 predicts failure perfectly
      cpacpa_4_73 dropped and 4 obs not used

note: cpacpa_4_77 != 0 predicts failure perfectly
      cpacpa_4_77 dropped and 12 obs not used

note: cpacpa_4_93 != 0 predicts failure perfectly
      cpacpa_4_93 dropped and 52 obs not used

note: cpacpa_4_111 != 0 predicts failure perfectly
      cpacpa_4_111 dropped and 29 obs not used

note: cpacpa_4_218 != 0 predicts failure perfectly
      cpacpa_4_218 dropped and 14 obs not used

note: cpacpa_4_257 != 0 predicts failure perfectly
      cpacpa_4_257 dropped and 123 obs not used

note: cpacpa_4_260 != 0 predicts failure perfectly
      cpacpa_4_260 dropped and 1 obs not used

note: cpacpa_4_261 != 0 predicts success perfectly
      cpacpa_4_261 dropped and 1 obs not used

Iteration 0:   log pseudolikelihood = -38403.351
Iteration 1:   log pseudolikelihood = -33053.069
Iteration 2:   log pseudolikelihood = -32782.224
Iteration 3:   log pseudolikelihood = -32768.606
Iteration 4:   log pseudolikelihood =     -32768
Iteration 5:   log pseudolikelihood = -32767.887
Iteration 6:   log pseudolikelihood = -32767.851
Iteration 7:   log pseudolikelihood =  -32767.84
Iteration 8:   log pseudolikelihood = -32767.836
Iteration 9:   log pseudolikelihood = -32767.834
Iteration 10:  log pseudolikelihood = -32767.834
Iteration 11:  log pseudolikelihood = -32767.834
Iteration 12:  log pseudolikelihood = -32767.834
Iteration 13:  log pseudolikelihood = -32767.834
Iteration 14:  log pseudolikelihood = -32767.834
Iteration 15:  log pseudolikelihood = -32767.834
Iteration 16:  log pseudolikelihood = -32767.834
Iteration 17:  log pseudolikelihood = -32767.834
Iteration 18:  log pseudolikelihood = -32767.834
Iteration 19:  log pseudolikelihood = -32767.834
Iteration 20:  log pseudolikelihood = -32767.834
Iteration 21:  log pseudolikelihood = -32767.834

Probit regression                                 Number of obs   =      95493
                                                  Wald chi2(358)  =          .
                                                  Prob > chi2     =          .
Log pseudolikelihood = -32767.834                 Pseudo R2       =     0.1467

                        (Std. Err. adjusted for 5123 clusters in siren_number)
------------------------------------------------------------------------------
             |               Robust
  intra_firm |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_lp_tfpr~2 |   .3463659   .0607317     5.70   0.000     .2273339    .4653979
          IM |   .9792989    .066567    14.71   0.000       .84883    1.109768
  payspays_3 |  -.1616972   .7088342    -0.23   0.820    -1.550987    1.227592
  payspays_7 |  -.1109226   .6398693    -0.17   0.862    -1.365043    1.143198
  payspays_8 |  -.0494842   .4112982    -0.12   0.904    -.8556139    .7566455
  payspays_9 |  -.0736797   .3621484    -0.20   0.839    -.7834775    .6361181
 payspays_10 |   .0865969   .3899183     0.22   0.824    -.6776288    .8508227
 payspays_11 |  -.6253022   .5990865    -1.04   0.297     -1.79949    .5488859
 payspays_12 |    .175862   .7122725     0.25   0.805    -1.220166     1.57189
 payspays_13 |   .1456737   .8424775     0.17   0.863    -1.505552    1.796899
 payspays_14 |  -.1073833   .5199802    -0.21   0.836    -1.126526    .9117592
 payspays_15 |  -.1717079   .3605947    -0.48   0.634    -.8784605    .5350448
 payspays_17 |   -.174619   .4754989    -0.37   0.713     -1.10658    .7573418
 payspays_18 |   -.686989   .6273183    -1.10   0.273     -1.91651    .5425322
 payspays_19 |    .397062   .5032809     0.79   0.430    -.5893505    1.383474
 payspays_23 |   .2071429   .3813691     0.54   0.587    -.5403269    .9546127
 payspays_25 |   .4929814   .5771885     0.85   0.393    -.6382872     1.62425
 payspays_26 |   .2337175   .7096711     0.33   0.742    -1.157212    1.624647
 payspays_27 |   .1178777   .3774084     0.31   0.755    -.6218292    .8575846
 payspays_30 |   -.225657   .3612368    -0.62   0.532    -.9336681    .4823541
 payspays_31 |   .2024016   .4384135     0.46   0.644    -.6568731    1.061676
 payspays_33 |   .0046688   .5214654     0.01   0.993    -1.017384    1.026722
 payspays_34 |  -.1709838   .3671858    -0.47   0.641    -.8906547     .548687
 payspays_35 |   .1790616    .493586     0.36   0.717    -.7883492    1.146472
 payspays_36 |   .0463485   .5238391     0.09   0.929    -.9803573    1.073054
 payspays_38 |  -.2690074    .599581    -0.45   0.654    -1.444165    .9061498
 payspays_39 |   .0922809   .3736616     0.25   0.805    -.6400824    .8246441
 payspays_40 |  -.2286928   .3598381    -0.64   0.525    -.9339625     .476577
 payspays_42 |   .1198545    .364919     0.33   0.743    -.5953736    .8350827
 payspays_44 |   1.118965   .7869867     1.42   0.155     -.423501     2.66143
 payspays_45 |  -.4374809   .4513525    -0.97   0.332    -1.322116    .4471537
 payspays_46 |  -.0015177   .5796124    -0.00   0.998    -1.137537    1.134502
 payspays_48 |  -.1008362   .4418633    -0.23   0.819    -.9668723    .7651999
 payspays_49 |  -.0725121   .3603399    -0.20   0.841    -.7787654    .6337411
 payspays_50 |   .4668035   .5022099     0.93   0.353    -.5175098    1.451117
 payspays_51 |  -.0455422   .3671238    -0.12   0.901    -.7650917    .6740072
 payspays_53 |   .7199712   .6736276     1.07   0.285    -.6003147    2.040257
 payspays_55 |  -.0386007   .3604989    -0.11   0.915    -.7451655    .6679641
 payspays_57 |   1.223624    .597433     2.05   0.041     .0526772    2.394572
 payspays_59 |   .3216114   .5325979     0.60   0.546    -.7222614    1.365484
 payspays_61 |   .9070798    .793499     1.14   0.253    -.6481498    2.462309
 payspays_64 |  -.0547059   .3745033    -0.15   0.884    -.7887188     .679307
 payspays_65 |  -.5054009   .4712291    -1.07   0.283    -1.428993    .4181912
 payspays_67 |  -.0292863   .3760545    -0.08   0.938    -.7663396    .7077671
 payspays_68 |   -.100048   .4055563    -0.25   0.805    -.8949237    .6948277
 payspays_69 |  -.0090768   .4486642    -0.02   0.984    -.8884425     .870289
 payspays_70 |    .416564   .5572994     0.75   0.455    -.6757228    1.508851
 payspays_71 |   .3370912   .3788037     0.89   0.374    -.4053506    1.079533
 payspays_72 |   .0371792   .3732677     0.10   0.921     -.694412    .7687705
 payspays_73 |   .1577142    .366315     0.43   0.667      -.56025    .8756784
 payspays_74 |  -.6240423   .4027135    -1.55   0.121    -1.413346    .1652616
 payspays_75 |  -.4180764   .3758547    -1.11   0.266    -1.154738    .3185852
 payspays_76 |   .0802651   .5486966     0.15   0.884    -.9951606    1.155691
 payspays_77 |  -.7926005   .5243071    -1.51   0.131    -1.820224    .2350226
 payspays_78 |   .7332492   .5428519     1.35   0.177    -.3307209    1.797219
 payspays_79 |  -.2359428   .3599891    -0.66   0.512    -.9415086    .4696229
 payspays_81 |  -.1670024   .6956388    -0.24   0.810    -1.530429    1.196425
 payspays_82 |  -.0095819   .3696887    -0.03   0.979    -.7341584    .7149946
 payspays_83 |  -.4843325   .5217862    -0.93   0.353    -1.507015    .5383497
 payspays_85 |   .8087143   .8197347     0.99   0.324    -.7979363    2.415365
 payspays_87 |   .0494054   .4434687     0.11   0.911    -.8197773    .9185881
 payspays_88 |  -.2626994   .3699532    -0.71   0.478    -.9877944    .4623955
 payspays_89 |  -.3840454   .6096386    -0.63   0.529    -1.578915    .8108243
 payspays_91 |  -.3626782   .4451118    -0.81   0.415    -1.235081    .5097249
 payspays_92 |   .4056899    .486425     0.83   0.404    -.5476855    1.359065
 payspays_94 |    .125922   .5593722     0.23   0.822    -.9704274    1.222271
 payspays_98 |  -.0730449   .4360922    -0.17   0.867    -.9277698      .78168
 payspays_99 |  -.3530511   .3741499    -0.94   0.345    -1.086371    .3802691
payspays_100 |  -.3821308   .5528567    -0.69   0.489     -1.46571    .7014485
payspays_101 |  -.4045995   .5481942    -0.74   0.460     -1.47904    .6698415
payspays_102 |   .1024658   .3880744     0.26   0.792    -.6581461    .8630777
payspays_104 |  -.2950112   .5382179    -0.55   0.584    -1.349899    .7598766
payspays_106 |   .8871274    .584585     1.52   0.129    -.2586382    2.032893
payspays_108 |   -.201739    .539783    -0.37   0.709    -1.259694    .8562163
payspays_109 |  -.7432433    .555653    -1.34   0.181    -1.832303    .3458167
payspays_112 |   .4012287   .5009913     0.80   0.423    -.5806962    1.383154
payspays_113 |  -.0305699   .4687247    -0.07   0.948    -.9492533    .8881136
payspays_114 |   .5377124   .3861745     1.39   0.164    -.2191758    1.294601
payspays_115 |   .0246624   .3805429     0.06   0.948    -.7211879    .7705126
payspays_120 |  -.5370444   .5587722    -0.96   0.336    -1.632218     .558129
payspays_122 |  -.0779522   .3603222    -0.22   0.829    -.7841708    .6282664
payspays_123 |   -.194203   .3784898    -0.51   0.608    -.9360294    .5476233
payspays_125 |   .0181511   .4376686     0.04   0.967    -.8396635    .8759657
payspays_127 |   1.108487   .6891845     1.61   0.108    -.2422892    2.459264
payspays_128 |  -.3943795    .458193    -0.86   0.389    -1.292421    .5036623
payspays_131 |  -.2470527   .3885207    -0.64   0.525    -1.008539    .5144339
payspays_132 |  -.5368178   .4270259    -1.26   0.209    -1.373773    .3001376
payspays_133 |   .2059854   .3751136     0.55   0.583    -.5292237    .9411946
payspays_135 |    .018823   .3664647     0.05   0.959    -.6994347    .7370807
payspays_139 |  -.9493838    .454742    -2.09   0.037    -1.840662   -.0581058
payspays_142 |   .1187735   .3883906     0.31   0.760    -.6424581    .8800052
payspays_143 |  -.3606199   .3908576    -0.92   0.356    -1.126687    .4054469
payspays_145 |  -.3455221   .4623085    -0.75   0.455     -1.25163    .5605859
payspays_146 |   1.201236   .7900936     1.52   0.128    -.3473188    2.749791
payspays_147 |   .1989312   .3629269     0.55   0.584    -.5123924    .9102548
payspays_148 |   .4812087   .3864561     1.25   0.213    -.2762313    1.238649
payspays_149 |   .0670407    .395575     0.17   0.865    -.7082721    .8423534
payspays_150 |  -.0474651   .3908152    -0.12   0.903    -.8134489    .7185187
payspays_152 |  -.3412084   .6692216    -0.51   0.610    -1.652859    .9704418
payspays_156 |   .3814303   .5036174     0.76   0.449    -.6056416    1.368502
payspays_157 |   .0034207   .4705642     0.01   0.994    -.9188682    .9257095
payspays_160 |   .9737376   .8323334     1.17   0.242    -.6576059    2.605081
payspays_161 |  -.0488963   .3719313    -0.13   0.895    -.7778682    .6800756
payspays_163 |  -.7589234   .5963167    -1.27   0.203    -1.927683    .4098358
payspays_164 |   .2095147   .3859735     0.54   0.587    -.5469796    .9660089
payspays_165 |  -.1173038   .3728563    -0.31   0.753    -.8480887    .6134812
payspays_167 |  -.3354781   .3719991    -0.90   0.367    -1.064583    .3936268
payspays_168 |  -.1340347   .5099088    -0.26   0.793    -1.133438    .8653682
payspays_169 |  -.4951985   .4570674    -1.08   0.279    -1.391034    .4006372
payspays_170 |   .0104331   .3878962     0.03   0.979    -.7498295    .7706957
payspays_171 |   .1111482   .3639232     0.31   0.760    -.6021282    .8244246
payspays_172 |  -.1723889     .54529    -0.32   0.752    -1.241138    .8963599
payspays_175 |  -.3089983   .6294496    -0.49   0.623    -1.542697    .9247003
payspays_177 |  -.7273894   .4370401    -1.66   0.096    -1.583972    .1291935
payspays_178 |   -.014981   .9244331    -0.02   0.987    -1.826837    1.796874
payspays_180 |   1.602833   .9316582     1.72   0.085    -.2231839    3.428849
payspays_181 |   .5471027   .4396347     1.24   0.213    -.3145656    1.408771
payspays_182 |   .0369973   .4023315     0.09   0.927     -.751558    .8255525
payspays_185 |   .2824407    .539995     0.52   0.601    -.7759301    1.340812
 cpacpa_4_14 |   6.245496    .957306     6.52   0.000     4.369211    8.121782
 cpacpa_4_15 |   5.784631   .8148428     7.10   0.000     4.187569    7.381694
 cpacpa_4_16 |   4.857636   .7569895     6.42   0.000     3.373963    6.341308
 cpacpa_4_17 |   5.729767   .7973089     7.19   0.000     4.167071    7.292464
 cpacpa_4_18 |   6.273287   .8071669     7.77   0.000      4.69127    7.855305
 cpacpa_4_19 |   4.511729   .9931082     4.54   0.000     2.565273    6.458185
 cpacpa_4_20 |   5.813921   .8654752     6.72   0.000     4.117621    7.510221
 cpacpa_4_21 |   5.915488   .8480136     6.98   0.000     4.253412    7.577564
 cpacpa_4_22 |   4.855525   .8809503     5.51   0.000     3.128894    6.582156
 cpacpa_4_23 |   5.896025    .952336     6.19   0.000     4.029481    7.762569
 cpacpa_4_24 |    4.89219   .8454192     5.79   0.000     3.235198    6.549181
 cpacpa_4_25 |   5.549636    .989503     5.61   0.000     3.610246    7.489026
 cpacpa_4_26 |   5.256406   .9565387     5.50   0.000     3.381625    7.131188
 cpacpa_4_28 |   5.622672   .9979053     5.63   0.000     3.666814    7.578531
 cpacpa_4_32 |   5.765976   .8701817     6.63   0.000     4.060451    7.471501
 cpacpa_4_34 |   5.644182   1.022284     5.52   0.000     3.640542    7.647823
 cpacpa_4_35 |   4.876129   .8125772     6.00   0.000     3.283507    6.468751
 cpacpa_4_37 |   5.329314   .8845989     6.02   0.000     3.595532    7.063096
 cpacpa_4_39 |   5.137349   .7414069     6.93   0.000     3.684218     6.59048
 cpacpa_4_40 |    4.44178   .8272883     5.37   0.000     2.820325    6.063235
 cpacpa_4_41 |   4.690987   .8250765     5.69   0.000     3.073867    6.308108
 cpacpa_4_43 |   4.585383   .7998024     5.73   0.000     3.017799    6.152967
 cpacpa_4_44 |   4.541596    .773188     5.87   0.000     3.026175    6.057016
 cpacpa_4_45 |   4.606698    .809381     5.69   0.000      3.02034    6.193056
 cpacpa_4_46 |   5.543154   .7852185     7.06   0.000     4.004155    7.082154
 cpacpa_4_47 |   4.705163   .8029066     5.86   0.000     3.131495    6.278831
 cpacpa_4_48 |    5.66202   .8241202     6.87   0.000     4.046774    7.277266
 cpacpa_4_49 |   5.228723   .7740577     6.75   0.000     3.711598    6.745848
 cpacpa_4_50 |   5.091645   .7803686     6.52   0.000     3.562151     6.62114
 cpacpa_4_51 |   5.034504   .7566313     6.65   0.000     3.551534    6.517474
 cpacpa_4_52 |   4.600375   .8038364     5.72   0.000     3.024885    6.175865
 cpacpa_4_53 |   5.402759   .8742221     6.18   0.000     3.689316    7.116203
 cpacpa_4_54 |   5.192832   .7909553     6.57   0.000     3.642588    6.743076
 cpacpa_4_55 |   7.048003   .9355875     7.53   0.000     5.214285    8.881721
 cpacpa_4_56 |   5.338121   .7774641     6.87   0.000     3.814319    6.861922
 cpacpa_4_57 |   5.201672   .7912998     6.57   0.000     3.650753    6.752592
 cpacpa_4_58 |   6.639997          .        .       .            .           .
 cpacpa_4_59 |   5.327274   .7798401     6.83   0.000     3.798816    6.855733
 cpacpa_4_60 |   6.247774   .8203454     7.62   0.000     4.639926    7.855621
 cpacpa_4_61 |   6.279321   .7953019     7.90   0.000     4.720558    7.838084
 cpacpa_4_62 |   5.165367   .7891971     6.55   0.000     3.618569    6.712165
 cpacpa_4_63 |   5.556929    .795202     6.99   0.000     3.998361    7.115496
 cpacpa_4_64 |   5.462927   .8254727     6.62   0.000      3.84503    7.080823
 cpacpa_4_65 |   5.102151   .8589268     5.94   0.000     3.418685    6.785616
 cpacpa_4_66 |    4.91086   .8040597     6.11   0.000     3.334932    6.486788
 cpacpa_4_67 |   5.819536   .8871658     6.56   0.000     4.080723    7.558349
 cpacpa_4_68 |   5.416018   .7857919     6.89   0.000     3.875895    6.956142
 cpacpa_4_69 |   5.606096   .8405559     6.67   0.000     3.958637    7.253555
 cpacpa_4_70 |   5.381816   .8727548     6.17   0.000     3.671248    7.092384
 cpacpa_4_71 |   5.186805   .8306216     6.24   0.000     3.558816    6.814793
 cpacpa_4_74 |   5.526976   .8573898     6.45   0.000     3.846523    7.207429
 cpacpa_4_75 |   6.231261   .9491068     6.57   0.000     4.371045    8.091476
 cpacpa_4_76 |   6.395745   .8182047     7.82   0.000     4.792094    7.999397
 cpacpa_4_78 |   4.778451   .7900609     6.05   0.000      3.22996    6.326942
 cpacpa_4_79 |   4.414079   .7834348     5.63   0.000     2.878575    5.949583
 cpacpa_4_80 |   5.101681   .7879817     6.47   0.000     3.557265    6.646097
 cpacpa_4_81 |   5.455077   .8294724     6.58   0.000     3.829341    7.080813
 cpacpa_4_82 |   5.020644   .7977771     6.29   0.000     3.457029    6.584258
 cpacpa_4_83 |   4.893199   .7967856     6.14   0.000     3.331528     6.45487
 cpacpa_4_84 |    4.95174    .782589     6.33   0.000     3.417894    6.485586
 cpacpa_4_85 |   4.399154   .7862916     5.59   0.000     2.858051    5.940257
 cpacpa_4_86 |   4.589052   .8060898     5.69   0.000     3.009145    6.168959
 cpacpa_4_87 |   4.330577    .793746     5.46   0.000     2.774863     5.88629
 cpacpa_4_88 |   4.444699   .9019444     4.93   0.000     2.676921    6.212478
 cpacpa_4_89 |   4.287611    .859276     4.99   0.000     2.603461    5.971761
 cpacpa_4_90 |   4.272954   .7875984     5.43   0.000      2.72929    5.816619
 cpacpa_4_91 |   4.785909   .7874441     6.08   0.000     3.242547    6.329271
 cpacpa_4_92 |   4.749377   .7873081     6.03   0.000     3.206282    6.292473
 cpacpa_4_94 |   4.166506   .8169255     5.10   0.000     2.565362    5.767651
 cpacpa_4_95 |   4.764052   .7887925     6.04   0.000     3.218047    6.310057
 cpacpa_4_96 |   4.303447    .799807     5.38   0.000     2.735854     5.87104
 cpacpa_4_97 |   4.525564    .745153     6.07   0.000     3.065091    5.986037
 cpacpa_4_98 |   4.571756   .9581518     4.77   0.000     2.693812    6.449699
 cpacpa_4_99 |   5.871882    .928046     6.33   0.000     4.052946    7.690819
cpacpa_4_100 |   6.249521   1.226918     5.09   0.000     3.844806    8.654237
cpacpa_4_101 |   4.578159   .7974907     5.74   0.000     3.015106    6.141213
cpacpa_4_102 |   4.201555   .8846476     4.75   0.000     2.467678    5.935433
cpacpa_4_103 |   5.253469   .7968787     6.59   0.000     3.691616    6.815323
cpacpa_4_104 |   4.593968   .8002173     5.74   0.000     3.025571    6.162365
cpacpa_4_105 |   4.930796   .8221723     6.00   0.000     3.319368    6.542224
cpacpa_4_106 |   4.751176   .8011969     5.93   0.000     3.180859    6.321493
cpacpa_4_107 |   5.083003   .7810012     6.51   0.000     3.552269    6.613737
cpacpa_4_108 |   5.109707   .7803643     6.55   0.000     3.580221    6.639193
cpacpa_4_109 |   5.784237   .8187553     7.06   0.000     4.179506    7.388968
cpacpa_4_110 |   5.607778   .8046147     6.97   0.000     4.030763    7.184794
cpacpa_4_112 |    5.11386   .7823906     6.54   0.000     3.580402    6.647317
cpacpa_4_113 |   5.098945   .7977578     6.39   0.000     3.535369    6.662522
cpacpa_4_114 |   5.435944   .8350727     6.51   0.000     3.799232    7.072657
cpacpa_4_115 |   5.658678     .85726     6.60   0.000     3.978479    7.338876
cpacpa_4_116 |   6.791482   .8153458     8.33   0.000     5.193433     8.38953
cpacpa_4_117 |   5.248219   .8049531     6.52   0.000      3.67054    6.825898
cpacpa_4_118 |   5.550407   .7855958     7.07   0.000     4.010668    7.090146
cpacpa_4_119 |   4.870908   .8056133     6.05   0.000     3.291935    6.449881
cpacpa_4_120 |   4.782149   .9100524     5.25   0.000     2.998479    6.565819
cpacpa_4_121 |   5.628964   .8198963     6.87   0.000     4.021997    7.235931
cpacpa_4_122 |   4.776882   .9683551     4.93   0.000      2.87894    6.674823
cpacpa_4_123 |   6.221762   .8310718     7.49   0.000     4.592892    7.850633
cpacpa_4_124 |   5.333145   .7841226     6.80   0.000     3.796293    6.869997
cpacpa_4_125 |    5.16573   .7812281     6.61   0.000     3.634551    6.696909
cpacpa_4_126 |    5.16145   .7789413     6.63   0.000     3.634753    6.688147
cpacpa_4_127 |   5.011259   .8149835     6.15   0.000     3.413921    6.608598
cpacpa_4_128 |   5.264748   .7788021     6.76   0.000     3.738324    6.791172
cpacpa_4_129 |   5.250416   .7954416     6.60   0.000      3.69138    6.809453
cpacpa_4_130 |   5.829269    .798605     7.30   0.000     4.264032    7.394506
cpacpa_4_131 |    5.55042   .7816736     7.10   0.000     4.018368    7.082472
cpacpa_4_132 |   5.357186   .7825179     6.85   0.000     3.823479    6.890893
cpacpa_4_133 |   6.327053   .7895576     8.01   0.000     4.779549    7.874558
cpacpa_4_134 |   5.375762   .7848895     6.85   0.000     3.837406    6.914117
cpacpa_4_135 |   5.804602   .7960161     7.29   0.000     4.244439    7.364765
cpacpa_4_136 |   4.369022   .8590557     5.09   0.000     2.685303     6.05274
cpacpa_4_137 |   5.339417    .789901     6.76   0.000     3.791239    6.887594
cpacpa_4_138 |   5.201878   .7898897     6.59   0.000     3.653723    6.750034
cpacpa_4_139 |   5.817414   .8339558     6.98   0.000     4.182891    7.451937
cpacpa_4_140 |   6.047098    .810087     7.46   0.000     4.459356    7.634839
cpacpa_4_141 |   5.342361   .7791795     6.86   0.000     3.815197    6.869524
cpacpa_4_142 |   4.776753   .7875824     6.07   0.000      3.23312    6.320386
cpacpa_4_143 |    6.25907   .8452373     7.41   0.000     4.602435    7.915704
cpacpa_4_144 |    5.02899   .9219319     5.45   0.000     3.222037    6.835944
cpacpa_4_145 |   5.343582   .7805742     6.85   0.000     3.813685    6.873479
cpacpa_4_146 |   5.185055   .7785157     6.66   0.000     3.659192    6.710918
cpacpa_4_147 |   5.131219   .7792834     6.58   0.000     3.603852    6.658586
cpacpa_4_148 |   5.739765   .7886187     7.28   0.000     4.194101    7.285429
cpacpa_4_149 |   5.397667   .7779421     6.94   0.000     3.872928    6.922405
cpacpa_4_150 |   6.533033   .8005032     8.16   0.000     4.964076    8.101991
cpacpa_4_151 |   5.866234   .7934779     7.39   0.000     4.311046    7.421422
cpacpa_4_152 |   4.972912    .793471     6.27   0.000     3.417737    6.528086
cpacpa_4_153 |   5.201135   .8008497     6.49   0.000     3.631498    6.770771
cpacpa_4_154 |   5.460909   .7887382     6.92   0.000     3.915011    7.006808
cpacpa_4_155 |   4.463643   .8220955     5.43   0.000     2.852366    6.074921
cpacpa_4_156 |    6.83632   .8566884     7.98   0.000     5.157241    8.515398
cpacpa_4_157 |   5.414435   .8156278     6.64   0.000     3.815834    7.013036
cpacpa_4_158 |   5.493193   .8050553     6.82   0.000     3.915314    7.071073
cpacpa_4_159 |   4.985417   .8185723     6.09   0.000     3.381045     6.58979
cpacpa_4_160 |   5.307228   .7987708     6.64   0.000     3.741666     6.87279
cpacpa_4_161 |   5.239742   .8935139     5.86   0.000     3.488487    6.990998
cpacpa_4_162 |   6.005278   .9103172     6.60   0.000     4.221089    7.789467
cpacpa_4_163 |   5.007795   .8865015     5.65   0.000     3.270284    6.745306
cpacpa_4_164 |   6.231466    .840235     7.42   0.000     4.584635    7.878296
cpacpa_4_165 |   5.540472   .9048099     6.12   0.000     3.767077    7.313867
cpacpa_4_166 |   5.974148   .8770329     6.81   0.000     4.255195    7.693101
cpacpa_4_167 |   5.564474   .9871828     5.64   0.000     3.629632    7.499317
cpacpa_4_168 |   6.596639   1.045824     6.31   0.000     4.546861    8.646416
cpacpa_4_169 |   6.220026    .840602     7.40   0.000     4.572476    7.867576
cpacpa_4_170 |   5.742101    .903886     6.35   0.000     3.970517    7.513685
cpacpa_4_171 |   5.699629   .8726288     6.53   0.000     3.989307     7.40995
cpacpa_4_172 |   4.762404   .8760358     5.44   0.000     3.045406    6.479403
cpacpa_4_173 |   5.493739   .8052801     6.82   0.000     3.915419    7.072059
cpacpa_4_174 |   5.620163   .7923706     7.09   0.000     4.067146    7.173181
cpacpa_4_175 |   5.053711   .7805621     6.47   0.000     3.523837    6.583584
cpacpa_4_176 |   4.740158     .81625     5.81   0.000     3.140337    6.339979
cpacpa_4_177 |   5.195956   .7846282     6.62   0.000     3.658113    6.733799
cpacpa_4_178 |   5.184734    .790468     6.56   0.000     3.635445    6.734023
cpacpa_4_179 |   5.247812   .7921878     6.62   0.000     3.695152    6.800472
cpacpa_4_180 |   5.086225    .808961     6.29   0.000      3.50069    6.671759
cpacpa_4_181 |   5.025278    .792244     6.34   0.000     3.472508    6.578047
cpacpa_4_182 |   4.818022   .7998929     6.02   0.000      3.25026    6.385783
cpacpa_4_183 |   5.341808   .8283751     6.45   0.000     3.718223    6.965394
cpacpa_4_184 |   5.032016   .7811573     6.44   0.000     3.500976    6.563056
cpacpa_4_185 |   5.537557   .8251774     6.71   0.000     3.920239    7.154875
cpacpa_4_186 |   5.188175   .7831312     6.62   0.000     3.653266    6.723084
cpacpa_4_187 |   4.930642   .7852834     6.28   0.000     3.391515    6.469769
cpacpa_4_188 |   5.388286    .789612     6.82   0.000     3.840675    6.935897
cpacpa_4_189 |   5.029937    .820995     6.13   0.000     3.420817    6.639058
cpacpa_4_190 |   5.173474   .8084019     6.40   0.000     3.589036    6.757913
cpacpa_4_191 |   5.820849   .8183529     7.11   0.000     4.216907    7.424791
cpacpa_4_192 |   6.002407   .8466768     7.09   0.000     4.342951    7.661863
cpacpa_4_193 |   5.115003   .8177315     6.26   0.000     3.512279    6.717727
cpacpa_4_194 |   5.056158   .7836999     6.45   0.000     3.520134    6.592182
cpacpa_4_195 |   5.235502   .7856645     6.66   0.000     3.695627    6.775376
cpacpa_4_196 |   4.902538   .8229721     5.96   0.000     3.289542    6.515533
cpacpa_4_197 |   5.020271   .7865928     6.38   0.000     3.478577    6.561964
cpacpa_4_198 |   5.141211   .7862004     6.54   0.000     3.600287    6.682136
cpacpa_4_199 |   5.057539   .7807698     6.48   0.000     3.527258     6.58782
cpacpa_4_200 |   5.222019   .7784202     6.71   0.000     3.696344    6.747695
cpacpa_4_201 |   5.313407   .7944396     6.69   0.000     3.756334     6.87048
cpacpa_4_202 |   5.674967   .7801083     7.27   0.000     4.145983    7.203952
cpacpa_4_203 |   5.718231    .780286     7.33   0.000     4.188899    7.247564
cpacpa_4_204 |   5.398553   .7859806     6.87   0.000     3.858059    6.939047
cpacpa_4_205 |   5.206136   .7864426     6.62   0.000     3.664737    6.747535
cpacpa_4_206 |   5.436876   .7826966     6.95   0.000     3.902819    6.970933
cpacpa_4_207 |    5.53169   .7806762     7.09   0.000     4.001593    7.061787
cpacpa_4_208 |   5.330202   .7786981     6.85   0.000     3.803981    6.856422
cpacpa_4_209 |   6.173143   .8523578     7.24   0.000     4.502552    7.843734
cpacpa_4_210 |    5.19094    .793164     6.54   0.000     3.636367    6.745513
cpacpa_4_211 |   5.234472   .7788077     6.72   0.000     3.708037    6.760907
cpacpa_4_212 |   5.230034   .8305268     6.30   0.000     3.602232    6.857837
cpacpa_4_213 |   5.342154   .7852285     6.80   0.000     3.803134    6.881173
cpacpa_4_214 |   4.867988   .7954085     6.12   0.000     3.309016     6.42696
cpacpa_4_215 |   5.047161   .7860931     6.42   0.000     3.506447    6.587875
cpacpa_4_216 |   4.954175   .7916114     6.26   0.000     3.402646    6.505705
cpacpa_4_217 |   5.345349   .7783739     6.87   0.000     3.819764    6.870933
cpacpa_4_219 |    5.59895   .7917919     7.07   0.000     4.047067    7.150834
cpacpa_4_220 |   5.285558   .8102079     6.52   0.000      3.69758    6.873536
cpacpa_4_221 |   5.906228   .8074322     7.31   0.000     4.323689    7.488766
cpacpa_4_222 |   5.621613   .7897693     7.12   0.000     4.073693    7.169532
cpacpa_4_223 |   5.641509   .7798549     7.23   0.000     4.113021    7.169996
cpacpa_4_224 |   5.596539   .7794939     7.18   0.000     4.068759    7.124319
cpacpa_4_225 |   5.750937   .7815437     7.36   0.000     4.219139    7.282734
cpacpa_4_226 |   5.887098   .7989373     7.37   0.000      4.32121    7.452986
cpacpa_4_227 |    5.28356    .786111     6.72   0.000     3.742811    6.824309
cpacpa_4_228 |   5.331165   .7898245     6.75   0.000     3.783138    6.879193
cpacpa_4_229 |   5.478675   .7802402     7.02   0.000     3.949432    7.007917
cpacpa_4_230 |   5.584204   .7813204     7.15   0.000     4.052844    7.115563
cpacpa_4_231 |   5.582236   .7865546     7.10   0.000     4.040617    7.123854
cpacpa_4_232 |    5.62691   .7858887     7.16   0.000     4.086597    7.167224
cpacpa_4_233 |     5.9837   .7849744     7.62   0.000     4.445178    7.522222
cpacpa_4_234 |   5.371548    .779005     6.90   0.000     3.844727     6.89837
cpacpa_4_235 |   5.748213    .790521     7.27   0.000      4.19882    7.297605
cpacpa_4_236 |   5.011401   .7947237     6.31   0.000     3.453771    6.569031
cpacpa_4_237 |   5.649442   .7995307     7.07   0.000      4.08239    7.216493
cpacpa_4_238 |   4.932416   .7969759     6.19   0.000     3.370372     6.49446
cpacpa_4_239 |   5.556115   .7794799     7.13   0.000     4.028362    7.083867
cpacpa_4_240 |   5.331302   .8771698     6.08   0.000     3.612081    7.050523
cpacpa_4_241 |   4.714322   .9477835     4.97   0.000     2.856701    6.571944
cpacpa_4_242 |   6.046806   .8603269     7.03   0.000     4.360596    7.733016
cpacpa_4_243 |   4.794107   .8145288     5.89   0.000     3.197659    6.390554
cpacpa_4_244 |   6.109749   .9365011     6.52   0.000      4.27424    7.945257
cpacpa_4_245 |   5.536035   .8703256     6.36   0.000     3.830228    7.241841
cpacpa_4_246 |   6.292908   .9976039     6.31   0.000      4.33764    8.248176
cpacpa_4_247 |   5.348333    .882629     6.06   0.000     3.618412    7.078254
cpacpa_4_248 |   5.405365   .7943078     6.81   0.000     3.848551     6.96218
cpacpa_4_249 |   5.824891   .8021103     7.26   0.000     4.252784    7.396999
cpacpa_4_250 |   4.610929   .8656133     5.33   0.000     2.914358      6.3075
cpacpa_4_251 |   5.138222   .7888822     6.51   0.000     3.592042    6.684403
cpacpa_4_252 |   5.113472   .8578065     5.96   0.000     3.432203    6.794742
cpacpa_4_253 |   4.321766   .8457312     5.11   0.000     2.664163    5.979369
cpacpa_4_254 |   5.957382   .9148843     6.51   0.000     4.164242    7.750522
cpacpa_4_255 |   5.188186   .8088975     6.41   0.000     3.602776    6.773596
cpacpa_4_256 |   5.164965   .8140579     6.34   0.000     3.569441    6.760489
cpacpa_4_258 |   5.208533   .7907261     6.59   0.000     3.658738    6.758328
cpacpa_4_259 |   5.254893   .7851996     6.69   0.000      3.71593    6.793856
cpacpa_4_262 |     5.1658   .8675746     5.95   0.000     3.465385    6.866215
cpacpa_4_263 |   4.536876   .8455889     5.37   0.000     2.879552      6.1942
cpacpa_4_264 |   5.366721   .8300959     6.47   0.000     3.739763    6.993679
cpacpa_4_265 |   5.600721   .7900074     7.09   0.000     4.052335    7.149107
cpacpa_4_266 |   4.962361    .892812     5.56   0.000     3.212481     6.71224
cpacpa_4_267 |    4.86127   .9280697     5.24   0.000     3.042287    6.680253
cpacpa_4_268 |   5.899929   .7911155     7.46   0.000     4.349371    7.450487
cpacpa_4_269 |   4.902031   .8808248     5.57   0.000     3.175646    6.628416
cpacpa_4_270 |    4.30149   .8189939     5.25   0.000     2.696291    5.906688
       _cons |  -6.668134   .8551355    -7.80   0.000    -8.344169     -4.9921
------------------------------------------------------------------------------
Note: 174 failures and 0 successes completely determined.

. mfx , var(ln_lp_tfprod2  IM)

Marginal effects after probit
      y  = Pr(intra_firm) (predict)
         =  .09798952
------------------------------------------------------------------------------
variable |      dy/dx    Std. Err.     z    P>|z|  [    95% C.I.   ]      X
---------+--------------------------------------------------------------------
ln_lp_~2 |   .0598902      .01091    5.49   0.000   .038507  .081273   .001345
      IM |   .1693308      .01178   14.37   0.000   .146236  .192426   .298513
------------------------------------------------------------------------------

. outreg2 ln_lp_tfprod2  IM using firm_extensive.xls, mfx ctitle(TFP) `instruct' replace
firm_extensive.tex
firm_extensive.xls
dir : seeout

. 
. probit intra_firm ln_capital_intensity_firm  IM   payspays* cpacpa* , cluster(siren_number)

note: payspays_2 != 0 predicts failure perfectly
      payspays_2 dropped and 28 obs not used

note: payspays_4 != 0 predicts failure perfectly
      payspays_4 dropped and 5 obs not used

note: payspays_5 != 0 predicts failure perfectly
      payspays_5 dropped and 1 obs not used

note: payspays_6 != 0 predicts failure perfectly
      payspays_6 dropped and 2 obs not used

note: payspays_16 != 0 predicts failure perfectly
      payspays_16 dropped and 3 obs not used

note: payspays_20 != 0 predicts failure perfectly
      payspays_20 dropped and 4 obs not used

note: payspays_21 != 0 predicts success perfectly
      payspays_21 dropped and 1 obs not used

note: payspays_22 != 0 predicts failure perfectly
      payspays_22 dropped and 8 obs not used

note: payspays_24 != 0 predicts failure perfectly
      payspays_24 dropped and 3 obs not used

note: payspays_28 != 0 predicts failure perfectly
      payspays_28 dropped and 5 obs not used

note: payspays_29 != 0 predicts failure perfectly
      payspays_29 dropped and 21 obs not used

note: payspays_32 != 0 predicts failure perfectly
      payspays_32 dropped and 60 obs not used

note: payspays_37 != 0 predicts failure perfectly
      payspays_37 dropped and 10 obs not used

note: payspays_41 != 0 predicts failure perfectly
      payspays_41 dropped and 6 obs not used

note: payspays_43 != 0 predicts failure perfectly
      payspays_43 dropped and 2 obs not used

note: payspays_47 != 0 predicts failure perfectly
      payspays_47 dropped and 25 obs not used

note: payspays_52 != 0 predicts failure perfectly
      payspays_52 dropped and 2 obs not used

note: payspays_54 != 0 predicts failure perfectly
      payspays_54 dropped and 23 obs not used

note: payspays_56 != 0 predicts failure perfectly
      payspays_56 dropped and 2 obs not used

note: payspays_58 != 0 predicts failure perfectly
      payspays_58 dropped and 6 obs not used

note: payspays_60 != 0 predicts failure perfectly
      payspays_60 dropped and 3 obs not used

note: payspays_62 != 0 predicts failure perfectly
      payspays_62 dropped and 12 obs not used

note: payspays_63 != 0 predicts failure perfectly
      payspays_63 dropped and 9 obs not used

note: payspays_66 != 0 predicts failure perfectly
      payspays_66 dropped and 3 obs not used

note: payspays_80 != 0 predicts failure perfectly
      payspays_80 dropped and 11 obs not used

note: payspays_84 != 0 predicts failure perfectly
      payspays_84 dropped and 3 obs not used

note: payspays_86 != 0 predicts failure perfectly
      payspays_86 dropped and 3 obs not used

note: payspays_90 != 0 predicts failure perfectly
      payspays_90 dropped and 1 obs not used

note: payspays_93 != 0 predicts failure perfectly
      payspays_93 dropped and 23 obs not used

note: payspays_95 != 0 predicts failure perfectly
      payspays_95 dropped and 46 obs not used

note: payspays_96 != 0 predicts failure perfectly
      payspays_96 dropped and 2 obs not used

note: payspays_97 != 0 predicts failure perfectly
      payspays_97 dropped and 1 obs not used

note: payspays_103 != 0 predicts failure perfectly
      payspays_103 dropped and 4 obs not used

note: payspays_105 != 0 predicts failure perfectly
      payspays_105 dropped and 1 obs not used

note: payspays_107 != 0 predicts failure perfectly
      payspays_107 dropped and 2 obs not used

note: payspays_110 != 0 predicts failure perfectly
      payspays_110 dropped and 15 obs not used

note: payspays_111 != 0 predicts failure perfectly
      payspays_111 dropped and 1 obs not used

note: payspays_116 != 0 predicts failure perfectly
      payspays_116 dropped and 3 obs not used

note: payspays_117 != 0 predicts failure perfectly
      payspays_117 dropped and 4 obs not used

note: payspays_118 != 0 predicts failure perfectly
      payspays_118 dropped and 3 obs not used

note: payspays_119 != 0 predicts failure perfectly
      payspays_119 dropped and 3 obs not used

note: payspays_121 != 0 predicts failure perfectly
      payspays_121 dropped and 6 obs not used

note: payspays_124 != 0 predicts failure perfectly
      payspays_124 dropped and 10 obs not used

note: payspays_126 != 0 predicts failure perfectly
      payspays_126 dropped and 3 obs not used

note: payspays_129 != 0 predicts failure perfectly
      payspays_129 dropped and 6 obs not used

note: payspays_130 != 0 predicts failure perfectly
      payspays_130 dropped and 3 obs not used

note: payspays_134 != 0 predicts failure perfectly
      payspays_134 dropped and 3 obs not used

note: payspays_136 != 0 predicts failure perfectly
      payspays_136 dropped and 6 obs not used

note: payspays_137 != 0 predicts failure perfectly
      payspays_137 dropped and 2 obs not used

note: payspays_138 != 0 predicts failure perfectly
      payspays_138 dropped and 137 obs not used

note: payspays_140 != 0 predicts failure perfectly
      payspays_140 dropped and 2 obs not used

note: payspays_141 != 0 predicts failure perfectly
      payspays_141 dropped and 13 obs not used

note: payspays_144 != 0 predicts failure perfectly
      payspays_144 dropped and 2 obs not used

note: payspays_151 != 0 predicts failure perfectly
      payspays_151 dropped and 3 obs not used

note: payspays_153 != 0 predicts failure perfectly
      payspays_153 dropped and 23 obs not used

note: payspays_154 != 0 predicts failure perfectly
      payspays_154 dropped and 3 obs not used

note: payspays_155 != 0 predicts failure perfectly
      payspays_155 dropped and 7 obs not used

note: payspays_158 != 0 predicts failure perfectly
      payspays_158 dropped and 2 obs not used

note: payspays_159 != 0 predicts failure perfectly
      payspays_159 dropped and 1 obs not used

note: payspays_162 != 0 predicts failure perfectly
      payspays_162 dropped and 3 obs not used

note: payspays_166 != 0 predicts failure perfectly
      payspays_166 dropped and 5 obs not used

note: payspays_173 != 0 predicts failure perfectly
      payspays_173 dropped and 17 obs not used

note: payspays_174 != 0 predicts failure perfectly
      payspays_174 dropped and 2 obs not used

note: payspays_176 != 0 predicts failure perfectly
      payspays_176 dropped and 2 obs not used

note: payspays_179 != 0 predicts failure perfectly
      payspays_179 dropped and 2 obs not used

note: payspays_183 != 0 predicts failure perfectly
      payspays_183 dropped and 8 obs not used

note: payspays_184 != 0 predicts failure perfectly
      payspays_184 dropped and 8 obs not used

note: cpacpa_4_2 != 0 predicts failure perfectly
      cpacpa_4_2 dropped and 52 obs not used

note: cpacpa_4_3 != 0 predicts failure perfectly
      cpacpa_4_3 dropped and 116 obs not used

note: cpacpa_4_4 != 0 predicts failure perfectly
      cpacpa_4_4 dropped and 18 obs not used

note: cpacpa_4_5 != 0 predicts failure perfectly
      cpacpa_4_5 dropped and 30 obs not used

note: cpacpa_4_6 != 0 predicts failure perfectly
      cpacpa_4_6 dropped and 15 obs not used

note: cpacpa_4_7 != 0 predicts failure perfectly
      cpacpa_4_7 dropped and 12 obs not used

note: cpacpa_4_8 != 0 predicts failure perfectly
      cpacpa_4_8 dropped and 50 obs not used

note: cpacpa_4_9 != 0 predicts failure perfectly
      cpacpa_4_9 dropped and 74 obs not used

note: cpacpa_4_10 != 0 predicts failure perfectly
      cpacpa_4_10 dropped and 73 obs not used

note: cpacpa_4_11 != 0 predicts failure perfectly
      cpacpa_4_11 dropped and 6 obs not used

note: cpacpa_4_12 != 0 predicts failure perfectly
      cpacpa_4_12 dropped and 1 obs not used

note: cpacpa_4_13 != 0 predicts failure perfectly
      cpacpa_4_13 dropped and 7 obs not used

note: cpacpa_4_27 != 0 predicts failure perfectly
      cpacpa_4_27 dropped and 2 obs not used

note: cpacpa_4_29 != 0 predicts failure perfectly
      cpacpa_4_29 dropped and 6 obs not used

note: cpacpa_4_30 != 0 predicts failure perfectly
      cpacpa_4_30 dropped and 7 obs not used

note: cpacpa_4_31 != 0 predicts failure perfectly
      cpacpa_4_31 dropped and 3 obs not used

note: cpacpa_4_33 != 0 predicts failure perfectly
      cpacpa_4_33 dropped and 6 obs not used

note: cpacpa_4_36 != 0 predicts failure perfectly
      cpacpa_4_36 dropped and 23 obs not used

note: cpacpa_4_38 != 0 predicts failure perfectly
      cpacpa_4_38 dropped and 2 obs not used

note: cpacpa_4_42 != 0 predicts failure perfectly
      cpacpa_4_42 dropped and 58 obs not used

note: cpacpa_4_72 != 0 predicts failure perfectly
      cpacpa_4_72 dropped and 3 obs not used

note: cpacpa_4_73 != 0 predicts failure perfectly
      cpacpa_4_73 dropped and 4 obs not used

note: cpacpa_4_77 != 0 predicts failure perfectly
      cpacpa_4_77 dropped and 12 obs not used

note: cpacpa_4_93 != 0 predicts failure perfectly
      cpacpa_4_93 dropped and 52 obs not used

note: cpacpa_4_111 != 0 predicts failure perfectly
      cpacpa_4_111 dropped and 29 obs not used

note: cpacpa_4_218 != 0 predicts failure perfectly
      cpacpa_4_218 dropped and 14 obs not used

note: cpacpa_4_257 != 0 predicts failure perfectly
      cpacpa_4_257 dropped and 123 obs not used

note: cpacpa_4_260 != 0 predicts failure perfectly
      cpacpa_4_260 dropped and 1 obs not used

note: cpacpa_4_261 != 0 predicts success perfectly
      cpacpa_4_261 dropped and 1 obs not used

Iteration 0:   log pseudolikelihood = -38403.351
Iteration 1:   log pseudolikelihood = -33273.508
Iteration 2:   log pseudolikelihood = -33019.857
Iteration 3:   log pseudolikelihood = -33006.644
Iteration 4:   log pseudolikelihood = -33006.037
Iteration 5:   log pseudolikelihood = -33005.927
Iteration 6:   log pseudolikelihood = -33005.892
Iteration 7:   log pseudolikelihood =  -33005.88
Iteration 8:   log pseudolikelihood = -33005.877
Iteration 9:   log pseudolikelihood = -33005.875
Iteration 10:  log pseudolikelihood = -33005.875
Iteration 11:  log pseudolikelihood = -33005.875
Iteration 12:  log pseudolikelihood = -33005.875
Iteration 13:  log pseudolikelihood = -33005.875
Iteration 14:  log pseudolikelihood = -33005.875
Iteration 15:  log pseudolikelihood = -33005.875
Iteration 16:  log pseudolikelihood = -33005.875
Iteration 17:  log pseudolikelihood = -33005.875
Iteration 18:  log pseudolikelihood = -33005.875
Iteration 19:  log pseudolikelihood = -33005.875
Iteration 20:  log pseudolikelihood = -33005.875
Iteration 21:  log pseudolikelihood = -33005.875

Probit regression                                 Number of obs   =      95493
                                                  Wald chi2(358)  =          .
                                                  Prob > chi2     =          .
Log pseudolikelihood = -33005.875                 Pseudo R2       =     0.1405

                        (Std. Err. adjusted for 5123 clusters in siren_number)
------------------------------------------------------------------------------
             |               Robust
  intra_firm |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_capital~m |   .1342456   .0376962     3.56   0.000     .0603625    .2081288
          IM |   .9525854   .0686357    13.88   0.000     .8180619    1.087109
  payspays_3 |  -.0561513   .7231892    -0.08   0.938    -1.473576    1.361274
  payspays_7 |  -.0860087   .6489446    -0.13   0.895    -1.357917    1.185899
  payspays_8 |   .0603305   .4192681     0.14   0.886    -.7614198    .8820808
  payspays_9 |   .0040448   .3699129     0.01   0.991    -.7209712    .7290607
 payspays_10 |   .1981485   .3975708     0.50   0.618     -.581076     .977373
 payspays_11 |  -.4714444   .6019185    -0.78   0.433    -1.651183    .7082941
 payspays_12 |   .2242714   .7435371     0.30   0.763    -1.233034    1.681577
 payspays_13 |   .2442801   .8545487     0.29   0.775    -1.430605    1.919165
 payspays_14 |   .0124487   .5067261     0.02   0.980    -.9807162    1.005614
 payspays_15 |  -.1052848   .3692177    -0.29   0.776    -.8289382    .6183687
 payspays_17 |  -.1157443   .4753598    -0.24   0.808    -1.047432    .8159437
 payspays_18 |  -.4919737   .6015031    -0.82   0.413    -1.670898    .6869507
 payspays_19 |   .3974336   .4825997     0.82   0.410    -.5484444    1.343312
 payspays_23 |   .2890768   .3891656     0.74   0.458    -.4736737    1.051827
 payspays_25 |   .6321259   .5740127     1.10   0.271    -.4929183     1.75717
 payspays_26 |   .3612098   .6955396     0.52   0.604    -1.002023    1.724442
 payspays_27 |   .2024715   .3852376     0.53   0.599    -.5525803    .9575233
 payspays_30 |  -.1390427   .3698088    -0.38   0.707    -.8638546    .5857693
 payspays_31 |   .2040533   .4420578     0.46   0.644     -.662364    1.070471
 payspays_33 |  -.0246401   .5004102    -0.05   0.961    -1.005426     .956146
 payspays_34 |  -.0755935   .3752768    -0.20   0.840    -.8111226    .6599355
 payspays_35 |    .269357   .4971536     0.54   0.588    -.7050461     1.24376
 payspays_36 |   .1792032   .5221427     0.34   0.731    -.8441777    1.202584
 payspays_38 |  -.1391469   .6027924    -0.23   0.817    -1.320598    1.042304
 payspays_39 |   .1723499   .3820675     0.45   0.652    -.5764887    .9211885
 payspays_40 |  -.1586994   .3685225    -0.43   0.667    -.8809903    .5635915
 payspays_42 |   .2210285   .3739735     0.59   0.555    -.5119461    .9540031
 payspays_44 |   1.255582   .8116168     1.55   0.122    -.3351579    2.846321
 payspays_45 |  -.3375733   .4616944    -0.73   0.465    -1.242478     .567331
 payspays_46 |   .0443038   .5939796     0.07   0.941    -1.119875    1.208482
 payspays_48 |  -.0310479   .4443584    -0.07   0.944    -.9019743    .8398785
 payspays_49 |   .0099594   .3689136     0.03   0.978    -.7130979    .7330168
 payspays_50 |   .4758388   .5126214     0.93   0.353    -.5288807    1.480558
 payspays_51 |   .0408605   .3755685     0.11   0.913    -.6952403    .7769613
 payspays_53 |   .7288098   .6802526     1.07   0.284    -.6044608     2.06208
 payspays_55 |   .0508547   .3690934     0.14   0.890    -.6725551    .7742646
 payspays_57 |   1.222009   .6201905     1.97   0.049      .006458     2.43756
 payspays_59 |   .3224185   .5448273     0.59   0.554    -.7454233     1.39026
 payspays_61 |   .8001502   .7336081     1.09   0.275    -.6376953    2.237996
 payspays_64 |    .051297   .3830045     0.13   0.893    -.6993781    .8019721
 payspays_65 |  -.3687149   .4585531    -0.80   0.421    -1.267462    .5300326
 payspays_67 |   .0473699   .3831564     0.12   0.902    -.7036028    .7983427
 payspays_68 |  -.0059594   .4140842    -0.01   0.989    -.8175496    .8056307
 payspays_69 |   .0765954   .4495055     0.17   0.865    -.8044192    .9576099
 payspays_70 |    .455892   .5633984     0.81   0.418    -.6483486    1.560133
 payspays_71 |   .4081978   .3863787     1.06   0.291    -.3490907    1.165486
 payspays_72 |   .1023422   .3796526     0.27   0.787    -.6417632    .8464476
 payspays_73 |   .2636279   .3746969     0.70   0.482    -.4707646    .9980203
 payspays_74 |  -.4840863   .4052556    -1.19   0.232    -1.278373    .3102001
 payspays_75 |  -.3506373   .3834238    -0.91   0.360    -1.102134    .4008596
 payspays_76 |   .2036401    .546086     0.37   0.709    -.8666687    1.273949
 payspays_77 |  -.7719142   .5444678    -1.42   0.156    -1.839051     .295223
 payspays_78 |   .7989905    .536538     1.49   0.136    -.2526046    1.850586
 payspays_79 |  -.1541899   .3685926    -0.42   0.676    -.8766181    .5682382
 payspays_81 |  -.1312138   .6885555    -0.19   0.849    -1.480758     1.21833
 payspays_82 |   .0816162   .3770915     0.22   0.829    -.6574695     .820702
 payspays_83 |  -.2910235   .5175956    -0.56   0.574    -1.305492    .7234452
 payspays_85 |   .8340409   .7147449     1.17   0.243    -.5668334    2.234915
 payspays_87 |   .0835387   .4548216     0.18   0.854    -.8078953    .9749728
 payspays_88 |  -.2031991   .3787503    -0.54   0.592    -.9455359    .5391378
 payspays_89 |  -.2935956   .6199001    -0.47   0.636    -1.508577    .9213862
 payspays_91 |  -.3287388   .4603129    -0.71   0.475    -1.230935    .5734578
 payspays_92 |   .4583438   .5009345     0.91   0.360    -.5234697    1.440157
 payspays_94 |   .1396277   .5475959     0.25   0.799    -.9336406    1.212896
 payspays_98 |   .0665494   .4417984     0.15   0.880    -.7993597    .9324584
 payspays_99 |  -.2902805   .3828097    -0.76   0.448    -1.040574    .4600128
payspays_100 |  -.2944561   .5572825    -0.53   0.597     -1.38671    .7977975
payspays_101 |  -.2814203   .5540044    -0.51   0.611    -1.367249    .8044085
payspays_102 |   .1840483   .3946999     0.47   0.641    -.5895493    .9576459
payspays_104 |  -.1051862   .5509747    -0.19   0.849    -1.185077    .9747044
payspays_106 |   .7881235    .573516     1.37   0.169    -.3359472    1.912194
payspays_108 |  -.1714516   .5464232    -0.31   0.754    -1.242421    .8995182
payspays_109 |   -.563113   .5562155    -1.01   0.311    -1.653275    .5270494
payspays_112 |   .5162175    .515911     1.00   0.317    -.4949496    1.527385
payspays_113 |   .1575524   .4732608     0.33   0.739    -.7700217    1.085126
payspays_114 |   .6214585   .3952889     1.57   0.116    -.1532936    1.396211
payspays_115 |   .1080471   .3887554     0.28   0.781    -.6538995    .8699937
payspays_120 |  -.4621293   .5690337    -0.81   0.417    -1.577415    .6531563
payspays_122 |  -.0050778   .3686928    -0.01   0.989    -.7277025    .7175469
payspays_123 |  -.0877289   .3873109    -0.23   0.821    -.8468443    .6713865
payspays_125 |   .1283805   .4326918     0.30   0.767    -.7196799     .976441
payspays_127 |    1.28715   .6882711     1.87   0.061    -.0618361    2.636137
payspays_128 |  -.3200892   .4644315    -0.69   0.491    -1.230358    .5901799
payspays_131 |  -.1561439   .3969564    -0.39   0.694     -.934164    .6218763
payspays_132 |  -.4669555   .4331139    -1.08   0.281    -1.315843    .3819321
payspays_133 |   .2607812   .3825143     0.68   0.495    -.4889331    1.010495
payspays_135 |   .1095396   .3742024     0.29   0.770    -.6238836    .8429628
payspays_139 |  -.7899711   .4578528    -1.73   0.084    -1.687346     .107404
payspays_142 |   .2245232   .3948733     0.57   0.570    -.5494142    .9984606
payspays_143 |  -.2637851    .397565    -0.66   0.507    -1.042998     .515428
payspays_145 |   -.153689   .4609103    -0.33   0.739    -1.057057    .7496786
payspays_146 |    1.39711   .8033472     1.74   0.082    -.1774212    2.971642
payspays_147 |   .2979228   .3723132     0.80   0.424    -.4317977    1.027643
payspays_148 |   .5649311   .3940932     1.43   0.152    -.2074774     1.33734
payspays_149 |   .1105559   .4024304     0.27   0.784    -.6781932     .899305
payspays_150 |   .0565095   .3983878     0.14   0.887    -.7243161    .8373352
payspays_152 |  -.2875675   .6659824    -0.43   0.666    -1.592869    1.017734
payspays_156 |    .409474   .4812172     0.85   0.395    -.5336944    1.352642
payspays_157 |   .0751118   .4603706     0.16   0.870    -.8271981    .9774217
payspays_160 |   1.058498   .7983809     1.33   0.185    -.5062999    2.623296
payspays_161 |   .0249942   .3785262     0.07   0.947    -.7169036     .766892
payspays_163 |  -.5777581   .5918114    -0.98   0.329    -1.737687    .5821709
payspays_164 |   .3296606   .3942607     0.84   0.403    -.4430761    1.102397
payspays_165 |   -.018834   .3818081    -0.05   0.961     -.767164    .7294961
payspays_167 |  -.2349436   .3817262    -0.62   0.538    -.9831131    .5132259
payspays_168 |  -.0536341   .4847209    -0.11   0.912     -1.00367    .8964014
payspays_169 |  -.3592072   .4632585    -0.78   0.438    -1.267177    .5487629
payspays_170 |   .0920851   .3958518     0.23   0.816    -.6837702    .8679404
payspays_171 |   .2104685   .3725294     0.56   0.572    -.5196758    .9406128
payspays_172 |  -.0106037   .5454118    -0.02   0.984    -1.079591    1.058384
payspays_175 |  -.2471638   .6373897    -0.39   0.698    -1.496425    1.002097
payspays_177 |  -.5827233   .4424774    -1.32   0.188    -1.449963    .2845165
payspays_178 |   .1615507   .9119624     0.18   0.859    -1.625863    1.948964
payspays_180 |   1.880716   .9194144     2.05   0.041     .0786967    3.682735
payspays_181 |   .6019388   .4449952     1.35   0.176    -.2702357    1.474113
payspays_182 |   .0841378   .4097447     0.21   0.837     -.718947    .8872227
payspays_185 |   .3079372   .5503641     0.56   0.576    -.7707565    1.386631
 cpacpa_4_14 |   6.389484   .9334097     6.85   0.000     4.560034    8.218933
 cpacpa_4_15 |   5.681875   .8364647     6.79   0.000     4.042434    7.321315
 cpacpa_4_16 |   4.867325   .8233618     5.91   0.000     3.253566    6.481085
 cpacpa_4_17 |     5.7315   .8109014     7.07   0.000     4.142163    7.320838
 cpacpa_4_18 |    6.29769   .9778688     6.44   0.000     4.381102    8.214277
 cpacpa_4_19 |   4.877569   .9128003     5.34   0.000     3.088514    6.666625
 cpacpa_4_20 |   5.913722   .8320572     7.11   0.000     4.282919    7.544524
 cpacpa_4_21 |   5.850475   .7938141     7.37   0.000     4.294628    7.406322
 cpacpa_4_22 |   4.966432   .8501715     5.84   0.000     3.300127    6.632738
 cpacpa_4_23 |   6.069245   .9567773     6.34   0.000     4.193996    7.944495
 cpacpa_4_24 |   4.995472   .8186496     6.10   0.000     3.390949    6.599996
 cpacpa_4_25 |   5.714351   .9701836     5.89   0.000     3.812826    7.615876
 cpacpa_4_26 |   5.403232   .9307808     5.81   0.000     3.578936    7.227529
 cpacpa_4_28 |   5.640792   .9547037     5.91   0.000     3.769608    7.511977
 cpacpa_4_32 |   5.653369   .8423946     6.71   0.000     4.002306    7.304432
 cpacpa_4_34 |   5.696762   .9898853     5.75   0.000     3.756622    7.636902
 cpacpa_4_35 |   4.824038   .7715349     6.25   0.000     3.311857    6.336218
 cpacpa_4_37 |    5.31776   .8515336     6.24   0.000     3.648785    6.986735
 cpacpa_4_39 |   5.188182   .7842889     6.62   0.000     3.651004     6.72536
 cpacpa_4_40 |    4.52852   .7932132     5.71   0.000     2.973851    6.083189
 cpacpa_4_41 |   4.681852   .7912738     5.92   0.000     3.130984    6.232721
 cpacpa_4_43 |   4.602454   .7648607     6.02   0.000     3.103355    6.101554
 cpacpa_4_44 |   4.648159   .7561782     6.15   0.000     3.166077    6.130241
 cpacpa_4_45 |    4.75324   .7721265     6.16   0.000       3.2399     6.26658
 cpacpa_4_46 |   5.633287   .7664939     7.35   0.000     4.130987    7.135588
 cpacpa_4_47 |   4.804176   .7681186     6.25   0.000     3.298691     6.30966
 cpacpa_4_48 |   5.779199   .7895564     7.32   0.000     4.231697    7.326701
 cpacpa_4_49 |   5.229799   .7577977     6.90   0.000     3.744543    6.715056
 cpacpa_4_50 |   5.151579   .7517241     6.85   0.000     3.678227    6.624931
 cpacpa_4_51 |   5.009097   .7675225     6.53   0.000     3.504781    6.513414
 cpacpa_4_52 |   4.661276   .7699726     6.05   0.000     3.152158    6.170395
 cpacpa_4_53 |   5.487686   .8394846     6.54   0.000     3.842326    7.133045
 cpacpa_4_54 |   5.260264   .7547836     6.97   0.000     3.780916    6.739613
 cpacpa_4_55 |    7.15516   .9169415     7.80   0.000     5.357988    8.952333
 cpacpa_4_56 |   5.382781   .7589327     7.09   0.000       3.8953    6.870262
 cpacpa_4_57 |   5.203175   .7697541     6.76   0.000     3.694485    6.711866
 cpacpa_4_58 |   6.511061   1.064069     6.12   0.000     4.425525    8.596597
 cpacpa_4_59 |   5.396374   .7611354     7.09   0.000     3.904576    6.888172
 cpacpa_4_60 |   6.334736   .7841829     8.08   0.000     4.797766    7.871706
 cpacpa_4_61 |   6.354871   .7562422     8.40   0.000     4.872663    7.837078
 cpacpa_4_62 |   5.238668   .7939683     6.60   0.000     3.682519    6.794818
 cpacpa_4_63 |   5.598128   .7590995     7.37   0.000     4.110321    7.085936
 cpacpa_4_64 |   5.563719   .7902739     7.04   0.000     4.014811    7.112628
 cpacpa_4_65 |   5.174326   .8184255     6.32   0.000     3.570241     6.77841
 cpacpa_4_66 |   5.001577   .7679818     6.51   0.000      3.49636    6.506794
 cpacpa_4_67 |   5.904083   .8378958     7.05   0.000     4.261837    7.546329
 cpacpa_4_68 |   5.461375    .749428     7.29   0.000     3.992523    6.930227
 cpacpa_4_69 |   5.561125   .8032087     6.92   0.000     3.986865    7.135385
 cpacpa_4_70 |   5.382074   .8574336     6.28   0.000     3.701535    7.062613
 cpacpa_4_71 |   5.135404   .7934301     6.47   0.000      3.58031    6.690499
 cpacpa_4_74 |   5.578409   .8295631     6.72   0.000     3.952495    7.204322
 cpacpa_4_75 |   6.115995   .8866327     6.90   0.000     4.378227    7.853764
 cpacpa_4_76 |   6.502724   .7859128     8.27   0.000     4.962363    8.043084
 cpacpa_4_78 |   4.898569    .753607     6.50   0.000     3.421526    6.375611
 cpacpa_4_79 |   4.599892   .7473357     6.16   0.000     3.135141    6.064644
 cpacpa_4_80 |     5.2722    .755094     6.98   0.000     3.792243    6.752157
 cpacpa_4_81 |   5.571876   .7984372     6.98   0.000     4.006968    7.136785
 cpacpa_4_82 |   5.127019   .7627266     6.72   0.000     3.632102    6.621935
 cpacpa_4_83 |   5.024723   .7617562     6.60   0.000     3.531709    6.517738
 cpacpa_4_84 |   5.097314   .7473769     6.82   0.000     3.632482    6.562146
 cpacpa_4_85 |   4.610366    .751454     6.14   0.000     3.137543    6.083189
 cpacpa_4_86 |    4.81382   .7678035     6.27   0.000     3.308952    6.318687
 cpacpa_4_87 |   4.560182   .7566979     6.03   0.000     3.077081    6.043283
 cpacpa_4_88 |   4.533921     .86806     5.22   0.000     2.832555    6.235287
 cpacpa_4_89 |   4.544659   .8015103     5.67   0.000     2.973728    6.115591
 cpacpa_4_90 |   4.528582   .7520388     6.02   0.000     3.054613    6.002551
 cpacpa_4_91 |   5.038909   .7524402     6.70   0.000     3.564154    6.513665
 cpacpa_4_92 |   4.971277   .7494142     6.63   0.000     3.502452    6.440101
 cpacpa_4_94 |   4.390229   .7791394     5.63   0.000     2.863143    5.917314
 cpacpa_4_95 |   4.967826   .7527589     6.60   0.000     3.492445    6.443206
 cpacpa_4_96 |   4.524809   .7613148     5.94   0.000      3.03266    6.016959
 cpacpa_4_97 |   4.600259   .7598846     6.05   0.000     3.110912    6.089605
 cpacpa_4_98 |    4.73902   .9035008     5.25   0.000     2.968191    6.509849
 cpacpa_4_99 |   5.963515   .8996369     6.63   0.000     4.200259     7.72677
cpacpa_4_100 |   6.297822   1.241357     5.07   0.000     3.864807    8.730838
cpacpa_4_101 |   4.721861   .7625794     6.19   0.000     3.227233    6.216489
cpacpa_4_102 |   4.305673   .8515783     5.06   0.000      2.63661    5.974736
cpacpa_4_103 |    5.35788   .7600175     7.05   0.000     3.868273    6.847487
cpacpa_4_104 |   4.758901   .7651209     6.22   0.000     3.259292    6.258511
cpacpa_4_105 |   5.036138   .7841329     6.42   0.000     3.499266     6.57301
cpacpa_4_106 |   4.758017   .7685752     6.19   0.000     3.251637    6.264397
cpacpa_4_107 |   5.148472   .7448042     6.91   0.000     3.688683    6.608261
cpacpa_4_108 |   5.205501   .7438869     7.00   0.000      3.74751    6.663493
cpacpa_4_109 |   5.926093   .7802597     7.60   0.000     4.396812    7.455374
cpacpa_4_110 |   5.678865    .770857     7.37   0.000     4.168013    7.189717
cpacpa_4_112 |   5.215749   .7461449     6.99   0.000     3.753332    6.678166
cpacpa_4_113 |   5.267982   .7595473     6.94   0.000     3.779296    6.756667
cpacpa_4_114 |    5.54247   .8095209     6.85   0.000     3.955839    7.129102
cpacpa_4_115 |   5.915711   .8359823     7.08   0.000     4.277216    7.554206
cpacpa_4_116 |   7.115902   .7863486     9.05   0.000     5.574687    8.657117
cpacpa_4_117 |   5.406444    .770646     7.02   0.000     3.896006    6.916882
cpacpa_4_118 |   5.703953   .7501995     7.60   0.000     4.233589    7.174317
cpacpa_4_119 |   4.964917   .7712475     6.44   0.000       3.4533    6.476534
cpacpa_4_120 |   4.740893    .863482     5.49   0.000       3.0485    6.433287
cpacpa_4_121 |   5.646611   .7843046     7.20   0.000     4.109402     7.18382
cpacpa_4_122 |   5.061338   .8006842     6.32   0.000     3.492026     6.63065
cpacpa_4_123 |   6.173495    .799743     7.72   0.000     4.606027    7.740963
cpacpa_4_124 |   5.368113   .7497308     7.16   0.000     3.898668    6.837559
cpacpa_4_125 |   5.191823   .7455967     6.96   0.000      3.73048    6.653166
cpacpa_4_126 |   5.216658   .7422206     7.03   0.000     3.761933    6.671384
cpacpa_4_127 |   4.973605   .7778954     6.39   0.000     3.448958    6.498252
cpacpa_4_128 |   5.309803   .7388482     7.19   0.000     3.861687    6.757919
cpacpa_4_129 |   5.328426   .7609519     7.00   0.000     3.836988    6.819864
cpacpa_4_130 |   5.990391   .7699892     7.78   0.000      4.48124    7.499542
cpacpa_4_131 |   5.631701   .7355366     7.66   0.000     4.190076    7.073326
cpacpa_4_132 |   5.436252   .7448267     7.30   0.000     3.976418    6.896085
cpacpa_4_133 |     6.4327   .7549172     8.52   0.000      4.95309    7.912311
cpacpa_4_134 |   5.436691   .7494255     7.25   0.000     3.967844    6.905538
cpacpa_4_135 |    5.94208    .763199     7.79   0.000     4.446238    7.437923
cpacpa_4_136 |   4.558745   .8237456     5.53   0.000     2.944234    6.173257
cpacpa_4_137 |   5.418749   .7552084     7.18   0.000     3.938567     6.89893
cpacpa_4_138 |   5.253418   .7544946     6.96   0.000     3.774635      6.7322
cpacpa_4_139 |    5.79231   .7975211     7.26   0.000     4.229198    7.355423
cpacpa_4_140 |   6.192758   .7747442     7.99   0.000     4.674287    7.711228
cpacpa_4_141 |   5.389197   .7374459     7.31   0.000     3.943829    6.834564
cpacpa_4_142 |   4.892403   .7449726     6.57   0.000     3.432284    6.352522
cpacpa_4_143 |   6.335604   .8071285     7.85   0.000     4.753661    7.917546
cpacpa_4_144 |   5.027695   .8665805     5.80   0.000     3.329228    6.726161
cpacpa_4_145 |   5.462773    .744882     7.33   0.000     4.002831    6.922715
cpacpa_4_146 |   5.288797   .7413613     7.13   0.000     3.835756    6.741838
cpacpa_4_147 |   5.206867    .743388     7.00   0.000     3.749853     6.66388
cpacpa_4_148 |   5.922046   .7539605     7.85   0.000     4.444311    7.399782
cpacpa_4_149 |   5.519453   .7422891     7.44   0.000     4.064593    6.974313
cpacpa_4_150 |   6.535169   .7650897     8.54   0.000      5.03562    8.034717
cpacpa_4_151 |   5.917511   .7575627     7.81   0.000     4.432716    7.402307
cpacpa_4_152 |    5.03722   .7575002     6.65   0.000     3.552547    6.521893
cpacpa_4_153 |   5.227213    .764262     6.84   0.000     3.729287    6.725139
cpacpa_4_154 |   5.577754   .7526713     7.41   0.000     4.102546    7.052963
cpacpa_4_155 |   4.614087   .7864187     5.87   0.000     3.072735    6.155439
cpacpa_4_156 |   6.860874   .8183635     8.38   0.000     5.256911    8.464837
cpacpa_4_157 |   5.544465   .7806814     7.10   0.000     4.014358    7.074572
cpacpa_4_158 |   5.574482   .7700929     7.24   0.000     4.065128    7.083836
cpacpa_4_159 |   5.075196   .7828741     6.48   0.000     3.540791    6.609601
cpacpa_4_160 |   5.375676   .7648434     7.03   0.000     3.876611    6.874742
cpacpa_4_161 |   5.274398   .8613585     6.12   0.000     3.586167     6.96263
cpacpa_4_162 |   5.856628   .8888996     6.59   0.000     4.114417    7.598839
cpacpa_4_163 |   5.155934    .849351     6.07   0.000     3.491236    6.820631
cpacpa_4_164 |   6.182642   .8034019     7.70   0.000     4.608004    7.757281
cpacpa_4_165 |    5.50137   .8641108     6.37   0.000     3.807744    7.194997
cpacpa_4_166 |   5.980765   .8339225     7.17   0.000     4.346307    7.615223
cpacpa_4_167 |   5.642674   .9513545     5.93   0.000     3.778053    7.507294
cpacpa_4_168 |   6.550191          .        .       .            .           .
cpacpa_4_169 |   6.274578   .6911109     9.08   0.000     4.920026    7.629131
cpacpa_4_170 |   5.701946   .8739733     6.52   0.000      3.98899    7.414902
cpacpa_4_171 |   5.631458   .8343831     6.75   0.000     3.996097    7.266819
cpacpa_4_172 |   4.813594   .8546554     5.63   0.000       3.1385    6.488688
cpacpa_4_173 |   5.582965   .7718243     7.23   0.000     4.070217    7.095713
cpacpa_4_174 |   5.669397    .755871     7.50   0.000     4.187917    7.150877
cpacpa_4_175 |   5.141835   .7438163     6.91   0.000     3.683982    6.599688
cpacpa_4_176 |   4.884686   .7846826     6.23   0.000     3.346736    6.422635
cpacpa_4_177 |   5.314541   .7487166     7.10   0.000     3.847084    6.781999
cpacpa_4_178 |   5.277532   .7542269     7.00   0.000     3.799275     6.75579
cpacpa_4_179 |   5.348706   .7571397     7.06   0.000      3.86474    6.832673
cpacpa_4_180 |   5.253178   .7744019     6.78   0.000     3.735378    6.770977
cpacpa_4_181 |   5.108224   .7558455     6.76   0.000     3.626794    6.589654
cpacpa_4_182 |   4.881261   .7647027     6.38   0.000     3.382472    6.380051
cpacpa_4_183 |   5.445542   .7930642     6.87   0.000     3.891165     6.99992
cpacpa_4_184 |    5.12358   .7448738     6.88   0.000     3.663655    6.583506
cpacpa_4_185 |   5.532216   .7759546     7.13   0.000     4.011373    7.053059
cpacpa_4_186 |    5.26099   .7472931     7.04   0.000     3.796322    6.725657
cpacpa_4_187 |   5.022139   .7481821     6.71   0.000     3.555729    6.488549
cpacpa_4_188 |   5.541231   .7526319     7.36   0.000       4.0661    7.016363
cpacpa_4_189 |   5.104206   .7836892     6.51   0.000     3.568203    6.640209
cpacpa_4_190 |   5.239098   .7719953     6.79   0.000     3.726015    6.752181
cpacpa_4_191 |   5.929633   .7844389     7.56   0.000     4.392161    7.467104
cpacpa_4_192 |   6.088162   .8078001     7.54   0.000     4.504903    7.671422
cpacpa_4_193 |   5.281192   .7827986     6.75   0.000     3.746935    6.815449
cpacpa_4_194 |   5.166012   .7470795     6.91   0.000     3.701763     6.63026
cpacpa_4_195 |   5.392996   .7494824     7.20   0.000     3.924038    6.861955
cpacpa_4_196 |   4.953511   .7910292     6.26   0.000     3.403122      6.5039
cpacpa_4_197 |   5.068668   .7507965     6.75   0.000     3.597134    6.540202
cpacpa_4_198 |   5.228364   .7496872     6.97   0.000     3.759004    6.697724
cpacpa_4_199 |   5.170544   .7444322     6.95   0.000     3.711484    6.629604
cpacpa_4_200 |   5.334857   .7420395     7.19   0.000     3.880486    6.789228
cpacpa_4_201 |    5.47528   .7589001     7.21   0.000     3.987863    6.962697
cpacpa_4_202 |   5.798919   .7441458     7.79   0.000      4.34042    7.257417
cpacpa_4_203 |   5.850159    .744517     7.86   0.000     4.390933    7.309386
cpacpa_4_204 |    5.49519   .7507013     7.32   0.000     4.023842    6.966537
cpacpa_4_205 |   5.294459   .7520206     7.04   0.000     3.820525    6.768392
cpacpa_4_206 |   5.570408    .746754     7.46   0.000     4.106797    7.034019
cpacpa_4_207 |   5.662963    .744489     7.61   0.000     4.203792    7.122135
cpacpa_4_208 |   5.432364   .7424171     7.32   0.000     3.977253    6.887475
cpacpa_4_209 |   6.358659   .8076117     7.87   0.000     4.775769    7.941549
cpacpa_4_210 |   5.251765   .7562531     6.94   0.000     3.769536    6.733994
cpacpa_4_211 |   5.347178   .7433919     7.19   0.000     3.890156    6.804199
cpacpa_4_212 |   5.201796   .7830999     6.64   0.000     3.666949    6.736644
cpacpa_4_213 |   5.427908   .7447824     7.29   0.000     3.968161    6.887655
cpacpa_4_214 |   4.997473   .7607382     6.57   0.000     3.506454    6.488493
cpacpa_4_215 |   5.153795   .7499357     6.87   0.000     3.683948    6.623642
cpacpa_4_216 |   4.983407   .7560747     6.59   0.000     3.501527    6.465286
cpacpa_4_217 |   5.434032   .7413457     7.33   0.000     3.981022    6.887043
cpacpa_4_219 |   5.719229   .7556221     7.57   0.000     4.238237    7.200221
cpacpa_4_220 |   5.339515   .7742326     6.90   0.000     3.822047    6.856983
cpacpa_4_221 |   5.976199   .7704283     7.76   0.000     4.466187    7.486211
cpacpa_4_222 |   5.761005   .7538724     7.64   0.000     4.283442    7.238568
cpacpa_4_223 |   5.776165   .7436267     7.77   0.000     4.318683    7.233646
cpacpa_4_224 |   5.719859    .743985     7.69   0.000     4.261675    7.178043
cpacpa_4_225 |   5.857786   .7460712     7.85   0.000     4.395514    7.320059
cpacpa_4_226 |   6.021333   .7532478     7.99   0.000     4.544995    7.497672
cpacpa_4_227 |   5.438294   .7516629     7.24   0.000     3.965061    6.911526
cpacpa_4_228 |   5.434543   .7555155     7.19   0.000     3.953759    6.915326
cpacpa_4_229 |   5.603799   .7447186     7.52   0.000     4.144177     7.06342
cpacpa_4_230 |   5.698633   .7457462     7.64   0.000     4.236997    7.160269
cpacpa_4_231 |   5.715537   .7509013     7.61   0.000     4.243798    7.187277
cpacpa_4_232 |    5.77242   .7507711     7.69   0.000     4.300936    7.243905
cpacpa_4_233 |   6.134625   .7508954     8.17   0.000     4.662897    7.606353
cpacpa_4_234 |   5.508068    .743648     7.41   0.000     4.050545    6.965591
cpacpa_4_235 |   5.880997    .757865     7.76   0.000     4.395609    7.366385
cpacpa_4_236 |   5.184557   .7605229     6.82   0.000     3.693959    6.675154
cpacpa_4_237 |   5.781599   .7656101     7.55   0.000      4.28103    7.282167
cpacpa_4_238 |   5.100962    .758602     6.72   0.000      3.61413    6.587795
cpacpa_4_239 |   5.652025   .7441378     7.60   0.000     4.193542    7.110508
cpacpa_4_240 |   5.542843   .8579595     6.46   0.000     3.861273    7.224412
cpacpa_4_241 |    4.94345   .9040056     5.47   0.000     3.171632    6.715268
cpacpa_4_242 |   6.066982   .8186875     7.41   0.000     4.462384     7.67158
cpacpa_4_243 |    4.92347   .7803351     6.31   0.000     3.394041    6.452899
cpacpa_4_244 |   6.293394   .9113386     6.91   0.000     4.507203    8.079584
cpacpa_4_245 |   5.684031   .8448096     6.73   0.000     4.028235    7.339828
cpacpa_4_246 |   6.452784   .9796392     6.59   0.000     4.532726    8.372841
cpacpa_4_247 |   5.547877   .8596707     6.45   0.000     3.862954    7.232801
cpacpa_4_248 |    5.58059   .7587936     7.35   0.000     4.093382    7.067798
cpacpa_4_249 |    5.94673   .7648032     7.78   0.000     4.447744    7.445717
cpacpa_4_250 |   4.824072   .8201712     5.88   0.000     3.216566    6.431578
cpacpa_4_251 |   5.291546   .7520906     7.04   0.000     3.817475    6.765616
cpacpa_4_252 |   5.298526   .8200636     6.46   0.000     3.691231    6.905821
cpacpa_4_253 |   4.516295    .804243     5.62   0.000     2.940008    6.092582
cpacpa_4_254 |   6.100942   .8808952     6.93   0.000     4.374419    7.827465
cpacpa_4_255 |   5.289056   .7688722     6.88   0.000     3.782094    6.796017
cpacpa_4_256 |   5.381728   .7757263     6.94   0.000     3.861333    6.902124
cpacpa_4_258 |   5.345446   .7549847     7.08   0.000     3.865703    6.825188
cpacpa_4_259 |   5.409033   .7497508     7.21   0.000     3.939549    6.878518
cpacpa_4_262 |   5.235711   .8256592     6.34   0.000     3.617449    6.853973
cpacpa_4_263 |   4.636495   .8043785     5.76   0.000     3.059942    6.213048
cpacpa_4_264 |   5.267902   .7950886     6.63   0.000     3.709557    6.826247
cpacpa_4_265 |   5.753144   .7546264     7.62   0.000     4.274104    7.232185
cpacpa_4_266 |   4.998706   .8488542     5.89   0.000     3.334982     6.66243
cpacpa_4_267 |   4.800036   .8987589     5.34   0.000     3.038501    6.561571
cpacpa_4_268 |   6.084214   .7573278     8.03   0.000     4.599879     7.56855
cpacpa_4_269 |    5.05423   .8434468     5.99   0.000     3.401105    6.707356
cpacpa_4_270 |   4.417573   .7831845     5.64   0.000      2.88256    5.952586
       _cons |  -7.358336   .8356647    -8.81   0.000    -8.996209   -5.720464
------------------------------------------------------------------------------
Note: 174 failures and 0 successes completely determined.

. mfx , var(ln_capital_intensity_firm  IM)

Marginal effects after probit
      y  = Pr(intra_firm) (predict)
         =  .09946262
------------------------------------------------------------------------------
variable |      dy/dx    Std. Err.     z    P>|z|  [    95% C.I.   ]      X
---------+--------------------------------------------------------------------
ln_cap~m |   .0234673      .00676    3.47   0.001   .010214  .036721   3.84977
      IM |   .1665203       .0122   13.65   0.000   .142611  .190429   .298513
------------------------------------------------------------------------------

. outreg2 ln_capital_intensity_firm  IM using firm_extensive.xls, mfx ctitle(CI) `instruct' append
firm_extensive.tex
firm_extensive.xls
dir : seeout

. 
. probit intra_firm ln_wage_based_skills_firm   IM   payspays* cpacpa* , iterate(100) cluster(siren_number)

note: payspays_2 != 0 predicts failure perfectly
      payspays_2 dropped and 28 obs not used

note: payspays_4 != 0 predicts failure perfectly
      payspays_4 dropped and 5 obs not used

note: payspays_5 != 0 predicts failure perfectly
      payspays_5 dropped and 1 obs not used

note: payspays_6 != 0 predicts failure perfectly
      payspays_6 dropped and 2 obs not used

note: payspays_16 != 0 predicts failure perfectly
      payspays_16 dropped and 3 obs not used

note: payspays_20 != 0 predicts failure perfectly
      payspays_20 dropped and 4 obs not used

note: payspays_21 != 0 predicts success perfectly
      payspays_21 dropped and 1 obs not used

note: payspays_22 != 0 predicts failure perfectly
      payspays_22 dropped and 8 obs not used

note: payspays_24 != 0 predicts failure perfectly
      payspays_24 dropped and 3 obs not used

note: payspays_28 != 0 predicts failure perfectly
      payspays_28 dropped and 5 obs not used

note: payspays_29 != 0 predicts failure perfectly
      payspays_29 dropped and 21 obs not used

note: payspays_32 != 0 predicts failure perfectly
      payspays_32 dropped and 60 obs not used

note: payspays_37 != 0 predicts failure perfectly
      payspays_37 dropped and 10 obs not used

note: payspays_41 != 0 predicts failure perfectly
      payspays_41 dropped and 6 obs not used

note: payspays_43 != 0 predicts failure perfectly
      payspays_43 dropped and 2 obs not used

note: payspays_47 != 0 predicts failure perfectly
      payspays_47 dropped and 25 obs not used

note: payspays_52 != 0 predicts failure perfectly
      payspays_52 dropped and 2 obs not used

note: payspays_54 != 0 predicts failure perfectly
      payspays_54 dropped and 23 obs not used

note: payspays_56 != 0 predicts failure perfectly
      payspays_56 dropped and 2 obs not used

note: payspays_58 != 0 predicts failure perfectly
      payspays_58 dropped and 6 obs not used

note: payspays_60 != 0 predicts failure perfectly
      payspays_60 dropped and 3 obs not used

note: payspays_62 != 0 predicts failure perfectly
      payspays_62 dropped and 12 obs not used

note: payspays_63 != 0 predicts failure perfectly
      payspays_63 dropped and 9 obs not used

note: payspays_66 != 0 predicts failure perfectly
      payspays_66 dropped and 3 obs not used

note: payspays_80 != 0 predicts failure perfectly
      payspays_80 dropped and 11 obs not used

note: payspays_84 != 0 predicts failure perfectly
      payspays_84 dropped and 3 obs not used

note: payspays_86 != 0 predicts failure perfectly
      payspays_86 dropped and 3 obs not used

note: payspays_90 != 0 predicts failure perfectly
      payspays_90 dropped and 1 obs not used

note: payspays_93 != 0 predicts failure perfectly
      payspays_93 dropped and 23 obs not used

note: payspays_95 != 0 predicts failure perfectly
      payspays_95 dropped and 46 obs not used

note: payspays_96 != 0 predicts failure perfectly
      payspays_96 dropped and 2 obs not used

note: payspays_97 != 0 predicts failure perfectly
      payspays_97 dropped and 1 obs not used

note: payspays_103 != 0 predicts failure perfectly
      payspays_103 dropped and 4 obs not used

note: payspays_105 != 0 predicts failure perfectly
      payspays_105 dropped and 1 obs not used

note: payspays_107 != 0 predicts failure perfectly
      payspays_107 dropped and 2 obs not used

note: payspays_110 != 0 predicts failure perfectly
      payspays_110 dropped and 15 obs not used

note: payspays_111 != 0 predicts failure perfectly
      payspays_111 dropped and 1 obs not used

note: payspays_116 != 0 predicts failure perfectly
      payspays_116 dropped and 3 obs not used

note: payspays_117 != 0 predicts failure perfectly
      payspays_117 dropped and 4 obs not used

note: payspays_118 != 0 predicts failure perfectly
      payspays_118 dropped and 3 obs not used

note: payspays_119 != 0 predicts failure perfectly
      payspays_119 dropped and 3 obs not used

note: payspays_121 != 0 predicts failure perfectly
      payspays_121 dropped and 6 obs not used

note: payspays_124 != 0 predicts failure perfectly
      payspays_124 dropped and 10 obs not used

note: payspays_126 != 0 predicts failure perfectly
      payspays_126 dropped and 3 obs not used

note: payspays_129 != 0 predicts failure perfectly
      payspays_129 dropped and 6 obs not used

note: payspays_130 != 0 predicts failure perfectly
      payspays_130 dropped and 3 obs not used

note: payspays_134 != 0 predicts failure perfectly
      payspays_134 dropped and 3 obs not used

note: payspays_136 != 0 predicts failure perfectly
      payspays_136 dropped and 6 obs not used

note: payspays_137 != 0 predicts failure perfectly
      payspays_137 dropped and 2 obs not used

note: payspays_138 != 0 predicts failure perfectly
      payspays_138 dropped and 137 obs not used

note: payspays_140 != 0 predicts failure perfectly
      payspays_140 dropped and 2 obs not used

note: payspays_141 != 0 predicts failure perfectly
      payspays_141 dropped and 13 obs not used

note: payspays_144 != 0 predicts failure perfectly
      payspays_144 dropped and 2 obs not used

note: payspays_151 != 0 predicts failure perfectly
      payspays_151 dropped and 3 obs not used

note: payspays_153 != 0 predicts failure perfectly
      payspays_153 dropped and 23 obs not used

note: payspays_154 != 0 predicts failure perfectly
      payspays_154 dropped and 3 obs not used

note: payspays_155 != 0 predicts failure perfectly
      payspays_155 dropped and 7 obs not used

note: payspays_158 != 0 predicts failure perfectly
      payspays_158 dropped and 2 obs not used

note: payspays_159 != 0 predicts failure perfectly
      payspays_159 dropped and 1 obs not used

note: payspays_162 != 0 predicts failure perfectly
      payspays_162 dropped and 3 obs not used

note: payspays_166 != 0 predicts failure perfectly
      payspays_166 dropped and 5 obs not used

note: payspays_173 != 0 predicts failure perfectly
      payspays_173 dropped and 17 obs not used

note: payspays_174 != 0 predicts failure perfectly
      payspays_174 dropped and 2 obs not used

note: payspays_176 != 0 predicts failure perfectly
      payspays_176 dropped and 2 obs not used

note: payspays_179 != 0 predicts failure perfectly
      payspays_179 dropped and 2 obs not used

note: payspays_183 != 0 predicts failure perfectly
      payspays_183 dropped and 8 obs not used

note: payspays_184 != 0 predicts failure perfectly
      payspays_184 dropped and 8 obs not used

note: cpacpa_4_2 != 0 predicts failure perfectly
      cpacpa_4_2 dropped and 52 obs not used

note: cpacpa_4_3 != 0 predicts failure perfectly
      cpacpa_4_3 dropped and 116 obs not used

note: cpacpa_4_4 != 0 predicts failure perfectly
      cpacpa_4_4 dropped and 18 obs not used

note: cpacpa_4_5 != 0 predicts failure perfectly
      cpacpa_4_5 dropped and 30 obs not used

note: cpacpa_4_6 != 0 predicts failure perfectly
      cpacpa_4_6 dropped and 15 obs not used

note: cpacpa_4_7 != 0 predicts failure perfectly
      cpacpa_4_7 dropped and 12 obs not used

note: cpacpa_4_8 != 0 predicts failure perfectly
      cpacpa_4_8 dropped and 50 obs not used

note: cpacpa_4_9 != 0 predicts failure perfectly
      cpacpa_4_9 dropped and 74 obs not used

note: cpacpa_4_10 != 0 predicts failure perfectly
      cpacpa_4_10 dropped and 73 obs not used

note: cpacpa_4_11 != 0 predicts failure perfectly
      cpacpa_4_11 dropped and 6 obs not used

note: cpacpa_4_12 != 0 predicts failure perfectly
      cpacpa_4_12 dropped and 1 obs not used

note: cpacpa_4_13 != 0 predicts failure perfectly
      cpacpa_4_13 dropped and 7 obs not used

note: cpacpa_4_27 != 0 predicts failure perfectly
      cpacpa_4_27 dropped and 2 obs not used

note: cpacpa_4_29 != 0 predicts failure perfectly
      cpacpa_4_29 dropped and 6 obs not used

note: cpacpa_4_30 != 0 predicts failure perfectly
      cpacpa_4_30 dropped and 7 obs not used

note: cpacpa_4_31 != 0 predicts failure perfectly
      cpacpa_4_31 dropped and 3 obs not used

note: cpacpa_4_33 != 0 predicts failure perfectly
      cpacpa_4_33 dropped and 6 obs not used

note: cpacpa_4_36 != 0 predicts failure perfectly
      cpacpa_4_36 dropped and 23 obs not used

note: cpacpa_4_38 != 0 predicts failure perfectly
      cpacpa_4_38 dropped and 2 obs not used

note: cpacpa_4_42 != 0 predicts failure perfectly
      cpacpa_4_42 dropped and 58 obs not used

note: cpacpa_4_72 != 0 predicts failure perfectly
      cpacpa_4_72 dropped and 3 obs not used

note: cpacpa_4_73 != 0 predicts failure perfectly
      cpacpa_4_73 dropped and 4 obs not used

note: cpacpa_4_77 != 0 predicts failure perfectly
      cpacpa_4_77 dropped and 12 obs not used

note: cpacpa_4_93 != 0 predicts failure perfectly
      cpacpa_4_93 dropped and 52 obs not used

note: cpacpa_4_111 != 0 predicts failure perfectly
      cpacpa_4_111 dropped and 29 obs not used

note: cpacpa_4_218 != 0 predicts failure perfectly
      cpacpa_4_218 dropped and 14 obs not used

note: cpacpa_4_257 != 0 predicts failure perfectly
      cpacpa_4_257 dropped and 123 obs not used

note: cpacpa_4_260 != 0 predicts failure perfectly
      cpacpa_4_260 dropped and 1 obs not used

note: cpacpa_4_261 != 0 predicts success perfectly
      cpacpa_4_261 dropped and 1 obs not used

Iteration 0:   log pseudolikelihood = -38403.351
Iteration 1:   log pseudolikelihood =  -32952.48
Iteration 2:   log pseudolikelihood = -32665.161
Iteration 3:   log pseudolikelihood = -32639.768
Iteration 4:   log pseudolikelihood =  -32635.89
Iteration 5:   log pseudolikelihood = -32634.944
Iteration 6:   log pseudolikelihood = -32634.693
Iteration 7:   log pseudolikelihood = -32634.625
Iteration 8:   log pseudolikelihood = -32634.606
Iteration 9:   log pseudolikelihood = -32634.601
Iteration 10:  log pseudolikelihood = -32634.599
Iteration 11:  log pseudolikelihood = -32634.599
Iteration 12:  log pseudolikelihood = -32634.599
Iteration 13:  log pseudolikelihood = -32634.599
Iteration 14:  log pseudolikelihood = -32634.599
Iteration 15:  log pseudolikelihood = -32634.599
Iteration 16:  log pseudolikelihood = -32634.599
Iteration 17:  log pseudolikelihood = -32634.599
Iteration 18:  log pseudolikelihood = -32634.599
Iteration 19:  log pseudolikelihood = -32634.599
Iteration 20:  log pseudolikelihood = -32634.599
Iteration 21:  log pseudolikelihood = -32634.599

Probit regression                                 Number of obs   =      95493
                                                  Wald chi2(358)  =          .
                                                  Prob > chi2     =          .
Log pseudolikelihood = -32634.599                 Pseudo R2       =     0.1502

                        (Std. Err. adjusted for 5123 clusters in siren_number)
------------------------------------------------------------------------------
             |               Robust
  intra_firm |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wage_ba~m |   .5958322   .1912962     3.11   0.002     .2208984    .9707659
          IM |   .9689633   .0672158    14.42   0.000     .8372227    1.100704
  payspays_3 |  -.1377925   .6724538    -0.20   0.838    -1.455778    1.180193
  payspays_7 |   .0072936   .6573047     0.01   0.991       -1.281    1.295587
  payspays_8 |   .1118376   .4173495     0.27   0.789    -.7061524    .9298276
  payspays_9 |   .0540764   .3607167     0.15   0.881    -.6529155    .7610682
 payspays_10 |   .2195977   .3912763     0.56   0.575    -.5472898    .9864851
 payspays_11 |    -.45933   .6023666    -0.76   0.446    -1.639947     .721287
 payspays_12 |   .3081096   .6953608     0.44   0.658    -1.054773    1.670992
 payspays_13 |   .3056192   .8805856     0.35   0.729    -1.420297    2.031535
 payspays_14 |   .0669747   .5151549     0.13   0.897    -.9427103     1.07666
 payspays_15 |  -.0415222   .3585535    -0.12   0.908    -.7442741    .6612297
 payspays_17 |  -.0649331   .4764838    -0.14   0.892    -.9988242    .8689581
 payspays_18 |  -.6031409   .6434421    -0.94   0.349    -1.864264    .6579824
 payspays_19 |   .4462179   .4737626     0.94   0.346    -.4823396    1.374775
 payspays_23 |   .3457498   .3790817     0.91   0.362    -.3972367    1.088736
 payspays_25 |    .654363   .5688571     1.15   0.250    -.4605763    1.769302
 payspays_26 |   .4830369   .7019981     0.69   0.491    -.8928541    1.858928
 payspays_27 |   .2154952   .3771823     0.57   0.568    -.5237685    .9547589
 payspays_30 |   -.094336   .3597032    -0.26   0.793    -.7993414    .6106694
 payspays_31 |   .2962662   .4356165     0.68   0.496    -.5575266    1.150059
 payspays_33 |   .0274413   .4931505     0.06   0.956    -.9391159    .9939984
 payspays_34 |  -.0268208   .3652397    -0.07   0.941    -.7426775     .689036
 payspays_35 |   .3385435   .4979874     0.68   0.497    -.6374938    1.314581
 payspays_36 |   .2773194   .5202781     0.53   0.594    -.7424069    1.297046
 payspays_38 |  -.0925717   .5930234    -0.16   0.876    -1.254876    1.069733
 payspays_39 |   .2313628   .3718265     0.62   0.534    -.4974038    .9601293
 payspays_40 |  -.0965437   .3579444    -0.27   0.787    -.7981019    .6050145
 payspays_42 |   .2547035   .3633197     0.70   0.483      -.45739     .966797
 payspays_44 |   1.214082   .7733141     1.57   0.116    -.3015856     2.72975
 payspays_45 |  -.2855512   .4471044    -0.64   0.523     -1.16186    .5907574
 payspays_46 |   .1138047   .5805438     0.20   0.845     -1.02404     1.25165
 payspays_48 |   .0301742   .4362092     0.07   0.945    -.8247801    .8851286
 payspays_49 |   .0726543   .3581176     0.20   0.839    -.6292434     .774552
 payspays_50 |   .5137551   .4941266     1.04   0.298    -.4547152    1.482225
 payspays_51 |   .0688787   .3656132     0.19   0.851    -.6477099    .7854673
 payspays_53 |   .8156402   .6903327     1.18   0.237    -.5373869    2.168667
 payspays_55 |   .0881131   .3585251     0.25   0.806    -.6145832    .7908094
 payspays_57 |   1.280806   .6288436     2.04   0.042     .0482952    2.513317
 payspays_59 |   .4138781   .5226463     0.79   0.428    -.6104898    1.438246
 payspays_61 |   .8740355   .7072198     1.24   0.217    -.5120898    2.260161
 payspays_64 |   .0653723   .3733019     0.18   0.861    -.6662861    .7970306
 payspays_65 |  -.3316947   .4476782    -0.74   0.459    -1.209128    .5457385
 payspays_67 |   .1208246   .3740353     0.32   0.747    -.6122711    .8539203
 payspays_68 |     .02763   .4015519     0.07   0.945    -.7593973    .8146573
 payspays_69 |   .1321033   .4459715     0.30   0.767    -.7419848    1.006191
 payspays_70 |   .5158181   .5531044     0.93   0.351    -.5682467    1.599883
 payspays_71 |   .4855042    .376676     1.29   0.197    -.2527671    1.223776
 payspays_72 |   .1590902   .3703528     0.43   0.668     -.566788    .8849683
 payspays_73 |   .3008502   .3642538     0.83   0.409    -.4130742    1.014774
 payspays_74 |   -.442951   .3993483    -1.11   0.267    -1.225659    .3397572
 payspays_75 |  -.3020511   .3734795    -0.81   0.419    -1.034057    .4299552
 payspays_76 |   .2138872   .5638637     0.38   0.704    -.8912654     1.31904
 payspays_77 |  -.7155806   .5316718    -1.35   0.178    -1.757638    .3264769
 payspays_78 |   .8640919   .5363564     1.61   0.107    -.1871473    1.915331
 payspays_79 |  -.1019682   .3579483    -0.28   0.776    -.8035339    .5995975
 payspays_81 |   .0268337   .6951946     0.04   0.969    -1.335723     1.38939
 payspays_82 |   .1193271   .3673657     0.32   0.745    -.6006965    .8393507
 payspays_83 |  -.3143071   .5200038    -0.60   0.546    -1.333496    .7048817
 payspays_85 |   .8685245   .7302142     1.19   0.234    -.5626691    2.299718
 payspays_87 |   .1098654   .4395685     0.25   0.803     -.751673    .9714039
 payspays_88 |  -.1261395   .3683675    -0.34   0.732    -.8481265    .5958474
 payspays_89 |  -.2041134   .6186929    -0.33   0.741    -1.416729    1.008502
 payspays_91 |  -.4672895   .5219079    -0.90   0.371     -1.49021    .5556311
 payspays_92 |   .4129731   .4876062     0.85   0.397    -.5427175    1.368664
 payspays_94 |   .2976912   .5590787     0.53   0.594     -.798083    1.393465
 payspays_98 |    .072083   .4356626     0.17   0.869       -.7818     .925966
 payspays_99 |  -.2053556   .3719573    -0.55   0.581    -.9343784    .5236672
payspays_100 |    -.17719   .5466366    -0.32   0.746    -1.248578    .8941981
payspays_101 |  -.2331126   .5516929    -0.42   0.673    -1.314411    .8481856
payspays_102 |   .2281054   .3865482     0.59   0.555    -.5295152    .9857259
payspays_104 |  -.0795606   .5532011    -0.14   0.886    -1.163815    1.004694
payspays_106 |   .7766344   .5740088     1.35   0.176    -.3484021    1.901671
payspays_108 |  -.1072889   .5218168    -0.21   0.837    -1.130031    .9154533
payspays_109 |  -.4942843   .5618115    -0.88   0.379    -1.595415     .606846
payspays_112 |   .5028374   .4940705     1.02   0.309    -.4655231    1.471198
payspays_113 |   .1593439   .4644529     0.34   0.732    -.7509671    1.069655
payspays_114 |   .6412134   .3869513     1.66   0.098    -.1171971    1.399624
payspays_115 |   .1800584   .3801037     0.47   0.636    -.5649311    .9250478
payspays_120 |  -.3999205   .5631075    -0.71   0.478    -1.503591    .7037499
payspays_122 |   .0549447   .3589523     0.15   0.878    -.6485889    .7584783
payspays_123 |  -.0983823   .3777021    -0.26   0.794    -.8386649    .6419002
payspays_125 |   .2717989   .4261478     0.64   0.524    -.5634354    1.107033
payspays_127 |   1.266215    .690815     1.83   0.067    -.0877579    2.620187
payspays_128 |  -.3025638    .463698    -0.65   0.514    -1.211395    .6062676
payspays_131 |  -.1118186   .3865903    -0.29   0.772    -.8695217    .6458845
payspays_132 |  -.4332409   .4250466    -1.02   0.308    -1.266317    .3998351
payspays_133 |    .327801   .3729705     0.88   0.379    -.4032077     1.05881
payspays_135 |   .1664804   .3642114     0.46   0.648    -.5473608    .8803217
payspays_139 |  -.7972512   .4511653    -1.77   0.077    -1.681519    .0870164
payspays_142 |   .2622781   .3858644     0.68   0.497    -.4940023    1.018559
payspays_143 |  -.2176731   .3890239    -0.56   0.576    -.9801459    .5447996
payspays_145 |  -.1909313   .4570693    -0.42   0.676    -1.086771     .704908
payspays_146 |   1.323973    .809876     1.63   0.102    -.2633543    2.911301
payspays_147 |    .327264   .3613552     0.91   0.365    -.3809791    1.035507
payspays_148 |   .6171056   .3835323     1.61   0.108     -.134604    1.368815
payspays_149 |   .2336569   .3936322     0.59   0.553     -.537848    1.005162
payspays_150 |   .0975666   .3913665     0.25   0.803    -.6694975    .8646308
payspays_152 |  -.2790397   .6467568    -0.43   0.666     -1.54666    .9885804
payspays_156 |   .4285187   .4898791     0.87   0.382    -.5316267    1.388664
payspays_157 |    .148923   .4557267     0.33   0.744     -.744285    1.042131
payspays_160 |   1.048268   .7787581     1.35   0.178    -.4780695    2.574606
payspays_161 |   .1412922   .3729323     0.38   0.705    -.5896416     .872226
payspays_163 |  -.6317712   .5971876    -1.06   0.290    -1.802237     .538695
payspays_164 |   .3528657   .3854083     0.92   0.360    -.4025206    1.108252
payspays_165 |   .0387623   .3714326     0.10   0.917    -.6892322    .7667569
payspays_167 |  -.1882406   .3715329    -0.51   0.612    -.9164318    .5399506
payspays_168 |  -.0258425   .4755945    -0.05   0.957    -.9579907    .9063057
payspays_169 |  -.2980147   .4587873    -0.65   0.516    -1.197221    .6011918
payspays_170 |    .132563   .3858375     0.34   0.731    -.6236646    .8887906
payspays_171 |   .2154006   .3630095     0.59   0.553    -.4960849    .9268861
payspays_172 |  -.0096199   .5594078    -0.02   0.986    -1.106039    1.086799
payspays_175 |  -.2028714   .6301339    -0.32   0.747    -1.437911    1.032168
payspays_177 |  -.5434617   .4328598    -1.26   0.209    -1.391851    .3049279
payspays_178 |    .128851    .946537     0.14   0.892    -1.726327     1.98403
payspays_180 |   1.703435   .8841901     1.93   0.054    -.0295463    3.436415
payspays_181 |   .6255347    .445054     1.41   0.160     -.246755    1.497824
payspays_182 |   .1400039   .4001519     0.35   0.726    -.6442793    .9242872
payspays_185 |   .4014896   .5439081     0.74   0.460    -.6645507     1.46753
 cpacpa_4_14 |    6.40137   .9097096     7.04   0.000     4.618372    8.184368
 cpacpa_4_15 |   5.881275   .7963549     7.39   0.000     4.320448    7.442102
 cpacpa_4_16 |   5.120315   .7704685     6.65   0.000     3.610224    6.630405
 cpacpa_4_17 |   5.872181   .7577358     7.75   0.000     4.387046    7.357315
 cpacpa_4_18 |   6.443341   .9247602     6.97   0.000     4.630844    8.255837
 cpacpa_4_19 |   4.847899   .9040288     5.36   0.000     3.076035    6.619763
 cpacpa_4_20 |   6.061603   .7847128     7.72   0.000     4.523594    7.599612
 cpacpa_4_21 |   5.961505     .75183     7.93   0.000     4.487945    7.435065
 cpacpa_4_22 |   5.165701   .8052248     6.42   0.000     3.587489    6.743912
 cpacpa_4_23 |   6.197762   .8995535     6.89   0.000     4.434669    7.960854
 cpacpa_4_24 |   5.174531   .7688283     6.73   0.000     3.667655    6.681406
 cpacpa_4_25 |   5.801824   .9077321     6.39   0.000     4.022702    7.580946
 cpacpa_4_26 |   5.555174   .9019802     6.16   0.000     3.787326    7.323023
 cpacpa_4_28 |   6.126891   .9829783     6.23   0.000     4.200289    8.053493
 cpacpa_4_32 |    5.91407   .8234984     7.18   0.000     4.300043    7.528097
 cpacpa_4_34 |   5.718119   .9379443     6.10   0.000     3.879782    7.556456
 cpacpa_4_35 |   4.959736   .7207294     6.88   0.000     3.547132     6.37234
 cpacpa_4_37 |   5.405546   .8034893     6.73   0.000     3.830736    6.980356
 cpacpa_4_39 |   5.299857   .7325275     7.24   0.000      3.86413    6.735585
 cpacpa_4_40 |   4.622504   .7422135     6.23   0.000     3.167792    6.077215
 cpacpa_4_41 |   4.786163   .7397637     6.47   0.000     3.336253    6.236073
 cpacpa_4_43 |   4.716538   .7117832     6.63   0.000     3.321469    6.111608
 cpacpa_4_44 |   4.799243   .7040257     6.82   0.000     3.419378    6.179108
 cpacpa_4_45 |   4.963486   .7300108     6.80   0.000     3.532691     6.39428
 cpacpa_4_46 |   5.837405   .7171473     8.14   0.000     4.431822    7.242987
 cpacpa_4_47 |   5.029074   .7188814     7.00   0.000     3.620093    6.438056
 cpacpa_4_48 |   5.998327   .7393789     8.11   0.000     4.549171    7.447483
 cpacpa_4_49 |   5.365629    .702491     7.64   0.000     3.988772    6.742486
 cpacpa_4_50 |   5.324856   .6991133     7.62   0.000      3.95462    6.695093
 cpacpa_4_51 |   5.135922    .715333     7.18   0.000     3.733896    6.537949
 cpacpa_4_52 |   4.747513     .71741     6.62   0.000     3.341416    6.153611
 cpacpa_4_53 |    5.60805   .7796585     7.19   0.000     4.079948    7.136153
 cpacpa_4_54 |   5.417611   .7021123     7.72   0.000     4.041497    6.793726
 cpacpa_4_55 |    7.27305   .8735637     8.33   0.000     5.560896    8.985203
 cpacpa_4_56 |   5.544584   .7055002     7.86   0.000     4.161829    6.927339
 cpacpa_4_57 |   5.348785   .7177809     7.45   0.000     3.941961     6.75561
 cpacpa_4_58 |   6.728919   1.015569     6.63   0.000      4.73844    8.719398
 cpacpa_4_59 |   5.468165   .7076012     7.73   0.000     4.081292    6.855038
 cpacpa_4_60 |   6.496316   .7368316     8.82   0.000     5.052153    7.940479
 cpacpa_4_61 |   6.527657   .7030653     9.28   0.000     5.149674    7.905639
 cpacpa_4_62 |   5.391716   .7509932     7.18   0.000     3.919796    6.863635
 cpacpa_4_63 |   5.782381   .7075966     8.17   0.000     4.395517    7.169245
 cpacpa_4_64 |   5.726674    .740315     7.74   0.000     4.275683    7.177664
 cpacpa_4_65 |   5.287801   .7743793     6.83   0.000     3.770046    6.805556
 cpacpa_4_66 |   5.079882   .7151512     7.10   0.000     3.678211    6.481552
 cpacpa_4_67 |   6.056019   .8043277     7.53   0.000     4.479565    7.632472
 cpacpa_4_68 |   5.574989   .6960464     8.01   0.000     4.210763    6.939215
 cpacpa_4_69 |   5.582498   .7480265     7.46   0.000     4.116393    7.048603
 cpacpa_4_70 |    5.46167   .7990879     6.83   0.000     3.895486    7.027853
 cpacpa_4_71 |   5.221361   .7490254     6.97   0.000     3.753298    6.689424
 cpacpa_4_74 |    5.71324    .770734     7.41   0.000     4.202629    7.223851
 cpacpa_4_75 |   6.307684   .8398513     7.51   0.000     4.661606    7.953763
 cpacpa_4_76 |   6.515585   .7293654     8.93   0.000     5.086055    7.945115
 cpacpa_4_78 |   5.032007   .7003421     7.19   0.000     3.659362    6.404652
 cpacpa_4_79 |   4.642959   .6936746     6.69   0.000     3.283382    6.002537
 cpacpa_4_80 |   5.363667   .7000095     7.66   0.000     3.991674    6.735661
 cpacpa_4_81 |   5.703438   .7437078     7.67   0.000     4.245797    7.161078
 cpacpa_4_82 |    5.27161   .7103612     7.42   0.000     3.879327    6.663892
 cpacpa_4_83 |   5.148525   .7091247     7.26   0.000     3.758666    6.538384
 cpacpa_4_84 |   5.185297   .6929099     7.48   0.000     3.827218    6.543375
 cpacpa_4_85 |   4.633677   .6974117     6.64   0.000     3.266775    6.000578
 cpacpa_4_86 |   4.900851   .7165635     6.84   0.000     3.496412    6.305289
 cpacpa_4_87 |   4.702007   .7119232     6.60   0.000     3.306663    6.097351
 cpacpa_4_88 |   4.491845   .8355826     5.38   0.000     2.854133    6.129557
 cpacpa_4_89 |   4.538455   .7633291     5.95   0.000     3.042357    6.034552
 cpacpa_4_90 |   4.569604   .6991688     6.54   0.000     3.199258     5.93995
 cpacpa_4_91 |   5.062145   .6979857     7.25   0.000     3.694118    6.430172
 cpacpa_4_92 |   5.121879   .7009239     7.31   0.000     3.748094    6.495665
 cpacpa_4_94 |   4.499587   .7303722     6.16   0.000     3.068084     5.93109
 cpacpa_4_95 |   4.974207    .700849     7.10   0.000     3.600568    6.347846
 cpacpa_4_96 |   4.586745   .7100552     6.46   0.000     3.195063    5.978428
 cpacpa_4_97 |   4.800936   .7079676     6.78   0.000     3.413345    6.188527
 cpacpa_4_98 |   4.946151   .8638904     5.73   0.000     3.252957    6.639345
 cpacpa_4_99 |   6.054391   .8338661     7.26   0.000     4.420044    7.688739
cpacpa_4_100 |   6.347249   1.187675     5.34   0.000      4.01945    8.675048
cpacpa_4_101 |   4.890133   .7113474     6.87   0.000     3.495918    6.284348
cpacpa_4_102 |   4.494135   .8042499     5.59   0.000     2.917834    6.070436
cpacpa_4_103 |   5.476942   .7076452     7.74   0.000     4.089982    6.863901
cpacpa_4_104 |   4.869102   .7124893     6.83   0.000     3.472648    6.265555
cpacpa_4_105 |   5.149514   .7344389     7.01   0.000      3.71004    6.588988
cpacpa_4_106 |   4.913336   .7167549     6.85   0.000     3.508522    6.318149
cpacpa_4_107 |   5.248465   .6910313     7.60   0.000     3.894068    6.602861
cpacpa_4_108 |   5.319947   .6899379     7.71   0.000     3.967693      6.6722
cpacpa_4_109 |   6.047992   .7312788     8.27   0.000     4.614712    7.481272
cpacpa_4_110 |   5.757934    .717638     8.02   0.000     4.351389    7.164478
cpacpa_4_112 |   5.312464   .6922697     7.67   0.000     3.955641    6.669288
cpacpa_4_113 |    5.08114   .7125705     7.13   0.000     3.684528    6.477753
cpacpa_4_114 |   5.394701   .7298959     7.39   0.000     3.964131    6.825271
cpacpa_4_115 |   5.633627   .7812823     7.21   0.000     4.102342    7.164913
cpacpa_4_116 |   6.873302   .7287233     9.43   0.000     5.445031    8.301574
cpacpa_4_117 |   5.447046   .7188808     7.58   0.000     4.038066    6.856027
cpacpa_4_118 |   5.679659    .697218     8.15   0.000     4.313137    7.046181
cpacpa_4_119 |   5.080718   .7187341     7.07   0.000     3.672025    6.489411
cpacpa_4_120 |   4.798241   .8177781     5.87   0.000     3.195425    6.401056
cpacpa_4_121 |   5.732682   .7407587     7.74   0.000     4.280822    7.184543
cpacpa_4_122 |    5.06328   .7595199     6.67   0.000     3.574648    6.551911
cpacpa_4_123 |   6.272099   .7487352     8.38   0.000     4.804605    7.739593
cpacpa_4_124 |   5.445356   .6961389     7.82   0.000     4.080949    6.809763
cpacpa_4_125 |   5.258182   .6920948     7.60   0.000     3.901702    6.614663
cpacpa_4_126 |   5.255328   .6888694     7.63   0.000     3.905169    6.605487
cpacpa_4_127 |   5.045812   .7253961     6.96   0.000     3.624061    6.467562
cpacpa_4_128 |   5.424288   .6849018     7.92   0.000     4.081905    6.766671
cpacpa_4_129 |   5.451538   .7081277     7.70   0.000     4.063633    6.839443
cpacpa_4_130 |   5.970657   .7173595     8.32   0.000     4.564658    7.376656
cpacpa_4_131 |   5.731884   .6822419     8.40   0.000     4.394715    7.069054
cpacpa_4_132 |   5.449562   .6918967     7.88   0.000      4.09347    6.805655
cpacpa_4_133 |   6.376902   .7019649     9.08   0.000     5.001076    7.752728
cpacpa_4_134 |   5.494907   .6956084     7.90   0.000      4.13154    6.858274
cpacpa_4_135 |   5.902049   .7094674     8.32   0.000     4.511518    7.292579
cpacpa_4_136 |   4.574568   .7713812     5.93   0.000     3.062688    6.086447
cpacpa_4_137 |   5.489851   .7003913     7.84   0.000     4.117109    6.862593
cpacpa_4_138 |   5.308843   .7002549     7.58   0.000     3.936369    6.681317
cpacpa_4_139 |   5.878475   .7446684     7.89   0.000     4.418951    7.337998
cpacpa_4_140 |   6.169435   .7348412     8.40   0.000     4.729173    7.609697
cpacpa_4_141 |   5.446804   .6838329     7.97   0.000     4.106516    6.787091
cpacpa_4_142 |   5.039831   .6916993     7.29   0.000     3.684125    6.395537
cpacpa_4_143 |    6.48337   .7586169     8.55   0.000     4.996509    7.970232
cpacpa_4_144 |   5.214492    .835386     6.24   0.000     3.577166    6.851819
cpacpa_4_145 |   5.559392   .6909674     8.05   0.000     4.205121    6.913663
cpacpa_4_146 |   5.415292   .6873628     7.88   0.000     4.068085    6.762498
cpacpa_4_147 |    5.30991   .6892281     7.70   0.000     3.959048    6.660772
cpacpa_4_148 |   5.988221   .6994827     8.56   0.000      4.61726    7.359182
cpacpa_4_149 |   5.624421   .6880702     8.17   0.000     4.275828    6.973014
cpacpa_4_150 |    6.68152   .7125444     9.38   0.000     5.284959    8.078081
cpacpa_4_151 |   6.065502   .7050755     8.60   0.000     4.683579    7.447425
cpacpa_4_152 |   5.139041   .7049183     7.29   0.000     3.757426    6.520655
cpacpa_4_153 |   5.365638   .7100418     7.56   0.000     3.973982    6.757294
cpacpa_4_154 |   5.673714   .6995599     8.11   0.000     4.302602    7.044826
cpacpa_4_155 |   4.672162   .7409309     6.31   0.000     3.219964     6.12436
cpacpa_4_156 |   7.035624   .7679919     9.16   0.000     5.530388    8.540861
cpacpa_4_157 |    5.59282   .7318995     7.64   0.000     4.158323    7.027317
cpacpa_4_158 |   5.661829   .7170944     7.90   0.000      4.25635    7.067308
cpacpa_4_159 |   5.195676   .7327528     7.09   0.000     3.759507    6.631845
cpacpa_4_160 |   5.501724   .7113263     7.73   0.000      4.10755    6.895898
cpacpa_4_161 |   5.438227   .8171965     6.65   0.000     3.836552    7.039903
cpacpa_4_162 |   6.130066   .8364083     7.33   0.000     4.490736    7.769396
cpacpa_4_163 |   5.181814   .8108563     6.39   0.000     3.592565    6.771063
cpacpa_4_164 |   6.377048   .7587071     8.41   0.000      4.89001    7.864087
cpacpa_4_165 |   5.676522   .8131518     6.98   0.000     4.082774    7.270271
cpacpa_4_166 |   6.097452   .8003977     7.62   0.000     4.528701    7.666203
cpacpa_4_167 |   5.771753    .911764     6.33   0.000     3.984729    7.558778
cpacpa_4_168 |   6.656495          .        .       .            .           .
cpacpa_4_169 |   6.357336   .6487079     9.80   0.000     5.085892     7.62878
cpacpa_4_170 |    5.92486   .8218759     7.21   0.000     4.314013    7.535707
cpacpa_4_171 |   5.835341     .79032     7.38   0.000     4.286342     7.38434
cpacpa_4_172 |   4.968014   .8008309     6.20   0.000     3.398414    6.537614
cpacpa_4_173 |   5.620274   .7155274     7.85   0.000     4.217867    7.022682
cpacpa_4_174 |   5.756085   .7030264     8.19   0.000     4.378179    7.133991
cpacpa_4_175 |   5.270508   .6901178     7.64   0.000     3.917902    6.623114
cpacpa_4_176 |   4.934858   .7315508     6.75   0.000     3.501044    6.368671
cpacpa_4_177 |   5.386818   .6953464     7.75   0.000     4.023964    6.749672
cpacpa_4_178 |    5.38598   .7016587     7.68   0.000     4.010754    6.761205
cpacpa_4_179 |   5.464443   .7043115     7.76   0.000     4.084017    6.844868
cpacpa_4_180 |   5.349307   .7240756     7.39   0.000     3.930145    6.768469
cpacpa_4_181 |   5.228398   .7026173     7.44   0.000     3.851293    6.605503
cpacpa_4_182 |   5.017541   .7113063     7.05   0.000     3.623406    6.411675
cpacpa_4_183 |   5.516466   .7445345     7.41   0.000     4.057206    6.975727
cpacpa_4_184 |   5.240009   .6911019     7.58   0.000     3.885474    6.594544
cpacpa_4_185 |   5.683826   .7250861     7.84   0.000     4.262684    7.104969
cpacpa_4_186 |   5.368632   .6936917     7.74   0.000     4.009021    6.728243
cpacpa_4_187 |   5.121561   .6945008     7.37   0.000     3.760364    6.482757
cpacpa_4_188 |   5.599203   .6997423     8.00   0.000     4.227733    6.970673
cpacpa_4_189 |   5.261743   .7330909     7.18   0.000     3.824911    6.698575
cpacpa_4_190 |   5.363295    .722215     7.43   0.000      3.94778    6.778811
cpacpa_4_191 |   6.007137   .7302183     8.23   0.000     4.575935    7.438338
cpacpa_4_192 |   6.087391    .764682     7.96   0.000     4.588642     7.58614
cpacpa_4_193 |   5.365849   .7375594     7.28   0.000     3.920259    6.811439
cpacpa_4_194 |   5.251268   .6931337     7.58   0.000     3.892751    6.609785
cpacpa_4_195 |   5.516739   .6964906     7.92   0.000     4.151642    6.881835
cpacpa_4_196 |   5.036199   .7399464     6.81   0.000     3.585931    6.486467
cpacpa_4_197 |   5.175566   .6973195     7.42   0.000     3.808845    6.542287
cpacpa_4_198 |   5.346458   .6964914     7.68   0.000      3.98136    6.711556
cpacpa_4_199 |    5.26057   .6907889     7.62   0.000     3.906648    6.614491
cpacpa_4_200 |   5.425344   .6879938     7.89   0.000     4.076901    6.773787
cpacpa_4_201 |   5.510558   .7058831     7.81   0.000     4.127052    6.894064
cpacpa_4_202 |   5.825406   .6900898     8.44   0.000     4.472855    7.177958
cpacpa_4_203 |   5.870259   .6903508     8.50   0.000     4.517196    7.223321
cpacpa_4_204 |   5.556273   .6971403     7.97   0.000     4.189903    6.922643
cpacpa_4_205 |   5.382329   .6979027     7.71   0.000     4.014465    6.750193
cpacpa_4_206 |    5.63602   .6927766     8.14   0.000     4.278203    6.993837
cpacpa_4_207 |   5.701382   .6904722     8.26   0.000     4.348081    7.054683
cpacpa_4_208 |   5.502671   .6882401     8.00   0.000     4.153745    6.851597
cpacpa_4_209 |   6.447554   .7630471     8.45   0.000     4.952009    7.943099
cpacpa_4_210 |   5.376326    .702303     7.66   0.000     3.999838    6.752815
cpacpa_4_211 |   5.441111   .6891836     7.90   0.000     4.090336    6.791886
cpacpa_4_212 |   5.307104   .7347558     7.22   0.000     3.867009    6.747199
cpacpa_4_213 |   5.490422   .6917429     7.94   0.000     4.134631    6.846213
cpacpa_4_214 |   5.151757   .7080486     7.28   0.000     3.764008    6.539507
cpacpa_4_215 |   5.305082    .697581     7.60   0.000     3.937849    6.672316
cpacpa_4_216 |   5.115916    .702215     7.29   0.000       3.7396    6.492232
cpacpa_4_217 |   5.541951    .687236     8.06   0.000     4.194993    6.888908
cpacpa_4_219 |   5.838211   .7033743     8.30   0.000     4.459623    7.216799
cpacpa_4_220 |   5.469762   .7246428     7.55   0.000     4.049488    6.890035
cpacpa_4_221 |   5.996705   .7178138     8.35   0.000     4.589816    7.403594
cpacpa_4_222 |   5.721305    .698853     8.19   0.000     4.351578    7.091031
cpacpa_4_223 |   5.794206     .68933     8.41   0.000     4.443144    7.145268
cpacpa_4_224 |   5.767314   .6897382     8.36   0.000     4.415452    7.119176
cpacpa_4_225 |    5.90925   .6916271     8.54   0.000     4.553686    7.264814
cpacpa_4_226 |   6.068059   .7023317     8.64   0.000     4.691514    7.444604
cpacpa_4_227 |   5.504264   .6969724     7.90   0.000     4.138223    6.870304
cpacpa_4_228 |    5.54186   .7029689     7.88   0.000     4.164066    6.919654
cpacpa_4_229 |   5.618476   .6905566     8.14   0.000      4.26501    6.971942
cpacpa_4_230 |   5.728456   .6915837     8.28   0.000     4.372977    7.083936
cpacpa_4_231 |   5.680117   .6973262     8.15   0.000     4.313383    7.046851
cpacpa_4_232 |   5.792482   .6973371     8.31   0.000     4.425726    7.159237
cpacpa_4_233 |   6.105995   .6966835     8.76   0.000     4.740521     7.47147
cpacpa_4_234 |   5.523247   .6894735     8.01   0.000     4.171904     6.87459
cpacpa_4_235 |   5.897359    .704312     8.37   0.000     4.516933    7.277785
cpacpa_4_236 |   5.220768    .707704     7.38   0.000     3.833693    6.607842
cpacpa_4_237 |   5.873621   .7131138     8.24   0.000     4.475943    7.271298
cpacpa_4_238 |   5.229558   .7062795     7.40   0.000     3.845276     6.61384
cpacpa_4_239 |   5.766377   .6904814     8.35   0.000     4.413058    7.119695
cpacpa_4_240 |   5.676458   .8261006     6.87   0.000      4.05733    7.295585
cpacpa_4_241 |   5.109277   .8596792     5.94   0.000     3.424336    6.794217
cpacpa_4_242 |    6.11466   .7728235     7.91   0.000     4.599954    7.629366
cpacpa_4_243 |   4.872179   .7317721     6.66   0.000     3.437932    6.306426
cpacpa_4_244 |    6.43031   .8606072     7.47   0.000     4.743551    8.117069
cpacpa_4_245 |   5.781877   .7986211     7.24   0.000     4.216608    7.347145
cpacpa_4_246 |   6.464319   .9483659     6.82   0.000     4.605556    8.323082
cpacpa_4_247 |   5.578466   .8084403     6.90   0.000     3.993952    7.162979
cpacpa_4_248 |   5.716669   .7077502     8.08   0.000     4.329504    7.103834
cpacpa_4_249 |    6.05685    .713644     8.49   0.000     4.658134    7.455567
cpacpa_4_250 |   4.905178   .7957781     6.16   0.000     3.345481    6.464874
cpacpa_4_251 |     5.4162   .6996018     7.74   0.000     4.045006    6.787395
cpacpa_4_252 |   5.429956   .7769455     6.99   0.000      3.90717    6.952741
cpacpa_4_253 |   4.517656   .7548266     5.99   0.000     3.038223    5.997089
cpacpa_4_254 |   6.166596   .8128785     7.59   0.000     4.573384    7.759809
cpacpa_4_255 |   5.411286   .7171805     7.55   0.000     4.005638    6.816933
cpacpa_4_256 |   5.415913   .7326728     7.39   0.000       3.9799    6.851925
cpacpa_4_258 |   5.395799   .6996842     7.71   0.000     4.024443    6.767154
cpacpa_4_259 |   5.461251   .6968626     7.84   0.000     4.095425    6.827076
cpacpa_4_262 |   5.490847   .7887865     6.96   0.000     3.944854     7.03684
cpacpa_4_263 |   4.835613   .7683912     6.29   0.000     3.329594    6.341632
cpacpa_4_264 |   5.615935   .7672928     7.32   0.000     4.112069    7.119802
cpacpa_4_265 |   5.692998   .7017434     8.11   0.000     4.317606     7.06839
cpacpa_4_266 |   5.142421   .8140133     6.32   0.000     3.546984    6.737858
cpacpa_4_267 |   4.905447   .8555097     5.73   0.000     3.228679    6.582215
cpacpa_4_268 |   5.985168   .7039503     8.50   0.000     4.605451    7.364885
cpacpa_4_269 |   4.988622   .7888244     6.32   0.000     3.442554    6.534689
cpacpa_4_270 |   4.482115   .7312417     6.13   0.000     3.048907    5.915322
       _cons |  -8.859244   .9756755    -9.08   0.000    -10.77153   -6.946955
------------------------------------------------------------------------------
Note: 174 failures and 0 successes completely determined.

. mfx , var(ln_wage_based_skills_firm  IM)

Marginal effects after probit
      y  = Pr(intra_firm) (predict)
         =  .09798817
------------------------------------------------------------------------------
variable |      dy/dx    Std. Err.     z    P>|z|  [    95% C.I.   ]      X
---------+--------------------------------------------------------------------
ln_wag~m |   .1030244      .03235    3.18   0.001   .039612  .166436   3.14209
      IM |    .167542      .01251   13.39   0.000    .14302  .192064   .298513
------------------------------------------------------------------------------

. outreg2 ln_wage_based_skills_firm  IM using firm_extensive.xls, mfx ctitle(SI) `instruct' append 
firm_extensive.tex
firm_extensive.xls
dir : seeout

. 
. probit intra_firm ln_lp_tfprod2 ln_capital_intensity_firm ln_wage_based_skills_firm  IM  payspays* cpacpa* , i
> terate(100) cluster(siren_number)

note: payspays_2 != 0 predicts failure perfectly
      payspays_2 dropped and 28 obs not used

note: payspays_4 != 0 predicts failure perfectly
      payspays_4 dropped and 5 obs not used

note: payspays_5 != 0 predicts failure perfectly
      payspays_5 dropped and 1 obs not used

note: payspays_6 != 0 predicts failure perfectly
      payspays_6 dropped and 2 obs not used

note: payspays_16 != 0 predicts failure perfectly
      payspays_16 dropped and 3 obs not used

note: payspays_20 != 0 predicts failure perfectly
      payspays_20 dropped and 4 obs not used

note: payspays_21 != 0 predicts success perfectly
      payspays_21 dropped and 1 obs not used

note: payspays_22 != 0 predicts failure perfectly
      payspays_22 dropped and 8 obs not used

note: payspays_24 != 0 predicts failure perfectly
      payspays_24 dropped and 3 obs not used

note: payspays_28 != 0 predicts failure perfectly
      payspays_28 dropped and 5 obs not used

note: payspays_29 != 0 predicts failure perfectly
      payspays_29 dropped and 21 obs not used

note: payspays_32 != 0 predicts failure perfectly
      payspays_32 dropped and 60 obs not used

note: payspays_37 != 0 predicts failure perfectly
      payspays_37 dropped and 10 obs not used

note: payspays_41 != 0 predicts failure perfectly
      payspays_41 dropped and 6 obs not used

note: payspays_43 != 0 predicts failure perfectly
      payspays_43 dropped and 2 obs not used

note: payspays_47 != 0 predicts failure perfectly
      payspays_47 dropped and 25 obs not used

note: payspays_52 != 0 predicts failure perfectly
      payspays_52 dropped and 2 obs not used

note: payspays_54 != 0 predicts failure perfectly
      payspays_54 dropped and 23 obs not used

note: payspays_56 != 0 predicts failure perfectly
      payspays_56 dropped and 2 obs not used

note: payspays_58 != 0 predicts failure perfectly
      payspays_58 dropped and 6 obs not used

note: payspays_60 != 0 predicts failure perfectly
      payspays_60 dropped and 3 obs not used

note: payspays_62 != 0 predicts failure perfectly
      payspays_62 dropped and 12 obs not used

note: payspays_63 != 0 predicts failure perfectly
      payspays_63 dropped and 9 obs not used

note: payspays_66 != 0 predicts failure perfectly
      payspays_66 dropped and 3 obs not used

note: payspays_80 != 0 predicts failure perfectly
      payspays_80 dropped and 11 obs not used

note: payspays_84 != 0 predicts failure perfectly
      payspays_84 dropped and 3 obs not used

note: payspays_86 != 0 predicts failure perfectly
      payspays_86 dropped and 3 obs not used

note: payspays_90 != 0 predicts failure perfectly
      payspays_90 dropped and 1 obs not used

note: payspays_93 != 0 predicts failure perfectly
      payspays_93 dropped and 23 obs not used

note: payspays_95 != 0 predicts failure perfectly
      payspays_95 dropped and 46 obs not used

note: payspays_96 != 0 predicts failure perfectly
      payspays_96 dropped and 2 obs not used

note: payspays_97 != 0 predicts failure perfectly
      payspays_97 dropped and 1 obs not used

note: payspays_103 != 0 predicts failure perfectly
      payspays_103 dropped and 4 obs not used

note: payspays_105 != 0 predicts failure perfectly
      payspays_105 dropped and 1 obs not used

note: payspays_107 != 0 predicts failure perfectly
      payspays_107 dropped and 2 obs not used

note: payspays_110 != 0 predicts failure perfectly
      payspays_110 dropped and 15 obs not used

note: payspays_111 != 0 predicts failure perfectly
      payspays_111 dropped and 1 obs not used

note: payspays_116 != 0 predicts failure perfectly
      payspays_116 dropped and 3 obs not used

note: payspays_117 != 0 predicts failure perfectly
      payspays_117 dropped and 4 obs not used

note: payspays_118 != 0 predicts failure perfectly
      payspays_118 dropped and 3 obs not used

note: payspays_119 != 0 predicts failure perfectly
      payspays_119 dropped and 3 obs not used

note: payspays_121 != 0 predicts failure perfectly
      payspays_121 dropped and 6 obs not used

note: payspays_124 != 0 predicts failure perfectly
      payspays_124 dropped and 10 obs not used

note: payspays_126 != 0 predicts failure perfectly
      payspays_126 dropped and 3 obs not used

note: payspays_129 != 0 predicts failure perfectly
      payspays_129 dropped and 6 obs not used

note: payspays_130 != 0 predicts failure perfectly
      payspays_130 dropped and 3 obs not used

note: payspays_134 != 0 predicts failure perfectly
      payspays_134 dropped and 3 obs not used

note: payspays_136 != 0 predicts failure perfectly
      payspays_136 dropped and 6 obs not used

note: payspays_137 != 0 predicts failure perfectly
      payspays_137 dropped and 2 obs not used

note: payspays_138 != 0 predicts failure perfectly
      payspays_138 dropped and 137 obs not used

note: payspays_140 != 0 predicts failure perfectly
      payspays_140 dropped and 2 obs not used

note: payspays_141 != 0 predicts failure perfectly
      payspays_141 dropped and 13 obs not used

note: payspays_144 != 0 predicts failure perfectly
      payspays_144 dropped and 2 obs not used

note: payspays_151 != 0 predicts failure perfectly
      payspays_151 dropped and 3 obs not used

note: payspays_153 != 0 predicts failure perfectly
      payspays_153 dropped and 23 obs not used

note: payspays_154 != 0 predicts failure perfectly
      payspays_154 dropped and 3 obs not used

note: payspays_155 != 0 predicts failure perfectly
      payspays_155 dropped and 7 obs not used

note: payspays_158 != 0 predicts failure perfectly
      payspays_158 dropped and 2 obs not used

note: payspays_159 != 0 predicts failure perfectly
      payspays_159 dropped and 1 obs not used

note: payspays_162 != 0 predicts failure perfectly
      payspays_162 dropped and 3 obs not used

note: payspays_166 != 0 predicts failure perfectly
      payspays_166 dropped and 5 obs not used

note: payspays_173 != 0 predicts failure perfectly
      payspays_173 dropped and 17 obs not used

note: payspays_174 != 0 predicts failure perfectly
      payspays_174 dropped and 2 obs not used

note: payspays_176 != 0 predicts failure perfectly
      payspays_176 dropped and 2 obs not used

note: payspays_179 != 0 predicts failure perfectly
      payspays_179 dropped and 2 obs not used

note: payspays_183 != 0 predicts failure perfectly
      payspays_183 dropped and 8 obs not used

note: payspays_184 != 0 predicts failure perfectly
      payspays_184 dropped and 8 obs not used

note: cpacpa_4_2 != 0 predicts failure perfectly
      cpacpa_4_2 dropped and 52 obs not used

note: cpacpa_4_3 != 0 predicts failure perfectly
      cpacpa_4_3 dropped and 116 obs not used

note: cpacpa_4_4 != 0 predicts failure perfectly
      cpacpa_4_4 dropped and 18 obs not used

note: cpacpa_4_5 != 0 predicts failure perfectly
      cpacpa_4_5 dropped and 30 obs not used

note: cpacpa_4_6 != 0 predicts failure perfectly
      cpacpa_4_6 dropped and 15 obs not used

note: cpacpa_4_7 != 0 predicts failure perfectly
      cpacpa_4_7 dropped and 12 obs not used

note: cpacpa_4_8 != 0 predicts failure perfectly
      cpacpa_4_8 dropped and 50 obs not used

note: cpacpa_4_9 != 0 predicts failure perfectly
      cpacpa_4_9 dropped and 74 obs not used

note: cpacpa_4_10 != 0 predicts failure perfectly
      cpacpa_4_10 dropped and 73 obs not used

note: cpacpa_4_11 != 0 predicts failure perfectly
      cpacpa_4_11 dropped and 6 obs not used

note: cpacpa_4_12 != 0 predicts failure perfectly
      cpacpa_4_12 dropped and 1 obs not used

note: cpacpa_4_13 != 0 predicts failure perfectly
      cpacpa_4_13 dropped and 7 obs not used

note: cpacpa_4_27 != 0 predicts failure perfectly
      cpacpa_4_27 dropped and 2 obs not used

note: cpacpa_4_29 != 0 predicts failure perfectly
      cpacpa_4_29 dropped and 6 obs not used

note: cpacpa_4_30 != 0 predicts failure perfectly
      cpacpa_4_30 dropped and 7 obs not used

note: cpacpa_4_31 != 0 predicts failure perfectly
      cpacpa_4_31 dropped and 3 obs not used

note: cpacpa_4_33 != 0 predicts failure perfectly
      cpacpa_4_33 dropped and 6 obs not used

note: cpacpa_4_36 != 0 predicts failure perfectly
      cpacpa_4_36 dropped and 23 obs not used

note: cpacpa_4_38 != 0 predicts failure perfectly
      cpacpa_4_38 dropped and 2 obs not used

note: cpacpa_4_42 != 0 predicts failure perfectly
      cpacpa_4_42 dropped and 58 obs not used

note: cpacpa_4_72 != 0 predicts failure perfectly
      cpacpa_4_72 dropped and 3 obs not used

note: cpacpa_4_73 != 0 predicts failure perfectly
      cpacpa_4_73 dropped and 4 obs not used

note: cpacpa_4_77 != 0 predicts failure perfectly
      cpacpa_4_77 dropped and 12 obs not used

note: cpacpa_4_93 != 0 predicts failure perfectly
      cpacpa_4_93 dropped and 52 obs not used

note: cpacpa_4_111 != 0 predicts failure perfectly
      cpacpa_4_111 dropped and 29 obs not used

note: cpacpa_4_218 != 0 predicts failure perfectly
      cpacpa_4_218 dropped and 14 obs not used

note: cpacpa_4_257 != 0 predicts failure perfectly
      cpacpa_4_257 dropped and 123 obs not used

note: cpacpa_4_260 != 0 predicts failure perfectly
      cpacpa_4_260 dropped and 1 obs not used

note: cpacpa_4_261 != 0 predicts success perfectly
      cpacpa_4_261 dropped and 1 obs not used

Iteration 0:   log pseudolikelihood = -38403.351
Iteration 1:   log pseudolikelihood = -32708.285
Iteration 2:   log pseudolikelihood = -32407.125
Iteration 3:   log pseudolikelihood = -32392.347
Iteration 4:   log pseudolikelihood = -32391.668
Iteration 5:   log pseudolikelihood = -32391.543
Iteration 6:   log pseudolikelihood = -32391.502
Iteration 7:   log pseudolikelihood = -32391.489
Iteration 8:   log pseudolikelihood = -32391.485
Iteration 9:   log pseudolikelihood = -32391.483
Iteration 10:  log pseudolikelihood = -32391.483
Iteration 11:  log pseudolikelihood = -32391.483
Iteration 12:  log pseudolikelihood = -32391.483
Iteration 13:  log pseudolikelihood = -32391.483
Iteration 14:  log pseudolikelihood = -32391.483
Iteration 15:  log pseudolikelihood = -32391.483
Iteration 16:  log pseudolikelihood = -32391.483
Iteration 17:  log pseudolikelihood = -32391.483
Iteration 18:  log pseudolikelihood = -32391.483
Iteration 19:  log pseudolikelihood = -32391.483
Iteration 20:  log pseudolikelihood = -32391.483
Iteration 21:  log pseudolikelihood = -32391.483
Iteration 22:  log pseudolikelihood = -32391.483

Probit regression                                 Number of obs   =      95493
                                                  Wald chi2(360)  =          .
                                                  Prob > chi2     =          .
Log pseudolikelihood = -32391.483                 Pseudo R2       =     0.1565

                        (Std. Err. adjusted for 5123 clusters in siren_number)
------------------------------------------------------------------------------
             |               Robust
  intra_firm |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_lp_tfpr~2 |   .2389634   .0626908     3.81   0.000     .1160917    .3618351
ln_capital~m |   .0922928   .0336968     2.74   0.006     .0262483    .1583373
ln_wage_ba~m |   .4210961   .1712382     2.46   0.014     .0854753    .7567168
          IM |   .9406104   .0692193    13.59   0.000      .804943    1.076278
  payspays_3 |  -.2858302   .6784133    -0.42   0.674    -1.615496    1.043835
  payspays_7 |  -.2105646   .6488677    -0.32   0.746    -1.482322    1.061193
  payspays_8 |  -.0595637   .4199082    -0.14   0.887    -.8825687    .7634414
  payspays_9 |  -.0950632   .3660228    -0.26   0.795    -.8124548    .6223283
 payspays_10 |     .07877    .397113     0.20   0.843    -.6995571    .8570971
 payspays_11 |  -.7568584   .5950054    -1.27   0.203    -1.923048    .4093308
 payspays_12 |   .2099434   .7150748     0.29   0.769    -1.191577    1.611464
 payspays_13 |   .1929071   .8361343     0.23   0.818    -1.445886      1.8317
 payspays_14 |  -.0956837   .5308253    -0.18   0.857    -1.136082    .9447148
 payspays_15 |  -.1689946   .3650979    -0.46   0.643    -.8845733    .5465841
 payspays_17 |  -.1461344    .486347    -0.30   0.764    -1.099357    .8070883
 payspays_18 |  -.8638854   .6299524    -1.37   0.170    -2.098569    .3707985
 payspays_19 |   .3761602    .505834     0.74   0.457    -.6152562    1.367577
 payspays_23 |   .1924422   .3860769     0.50   0.618    -.5642545     .949139
 payspays_25 |   .4821833   .5957133     0.81   0.418    -.6853934     1.64976
 payspays_26 |    .257977   .7216506     0.36   0.721    -1.156432    1.672386
 payspays_27 |   .0823709   .3805656     0.22   0.829     -.663524    .8282659
 payspays_30 |  -.2302105   .3655748    -0.63   0.529     -.946724     .486303
 payspays_31 |   .1973365    .441602     0.45   0.655    -.6681875     1.06286
 payspays_33 |  -.0382863   .5069495    -0.08   0.940    -1.031889    .9553165
 payspays_34 |  -.1482113    .371556    -0.40   0.690    -.8764477    .5800252
 payspays_35 |   .1564226   .4995739     0.31   0.754    -.8227242    1.135569
 payspays_36 |   .0645332   .5301727     0.12   0.903    -.9745862    1.103653
 payspays_38 |   -.274469   .5960905    -0.46   0.645    -1.442785     .893847
 payspays_39 |   .1028278   .3782713     0.27   0.786    -.6385704     .844226
 payspays_40 |  -.2234201   .3643552    -0.61   0.540    -.9375432    .4907031
 payspays_42 |   .1172184   .3697469     0.32   0.751    -.6074721    .8419089
 payspays_44 |   1.141348   .7884387     1.45   0.148    -.4039635    2.686659
 payspays_45 |  -.5038989   .4526513    -1.11   0.266    -1.391079    .3832815
 payspays_46 |  -.0041214    .581633    -0.01   0.994    -1.144101    1.135858
 payspays_48 |  -.0945798   .4485941    -0.21   0.833     -.973808    .7846485
 payspays_49 |  -.0571666   .3649955    -0.16   0.876    -.7725447    .6582115
 payspays_50 |   .4490923   .5035931     0.89   0.373     -.537932    1.436117
 payspays_51 |  -.0710339   .3718519    -0.19   0.849    -.7998502    .6577823
 payspays_53 |   .6875433   .6899417     1.00   0.319    -.6647176    2.039804
 payspays_55 |  -.0395584   .3650798    -0.11   0.914    -.7551016    .6759849
 payspays_57 |   1.151075   .6254251     1.84   0.066     -.074736    2.376885
 payspays_59 |   .2961571   .5304032     0.56   0.577    -.7434141    1.335728
 payspays_61 |    .837038   .7573761     1.11   0.269    -.6473918    2.321468
 payspays_64 |  -.0820277   .3785296    -0.22   0.828    -.8239321    .6598767
 payspays_65 |  -.4653777    .456968    -1.02   0.308    -1.361019    .4302632
 payspays_67 |  -.0107336   .3807495    -0.03   0.978    -.7569889    .7355218
 payspays_68 |  -.0933393   .4048651    -0.23   0.818    -.8868603    .7001816
 payspays_69 |  -.0212801   .4503099    -0.05   0.962    -.9038714    .8613111
 payspays_70 |   .4039788   .5602287     0.72   0.471    -.6940492    1.502007
 payspays_71 |   .3525058   .3829653     0.92   0.357    -.3980925    1.103104
 payspays_72 |   .0101156   .3773658     0.03   0.979    -.7295078    .7497391
 payspays_73 |   .1604487   .3707772     0.43   0.665    -.5662613    .8871587
 payspays_74 |  -.6097502   .4101787    -1.49   0.137    -1.413686    .1941852
 payspays_75 |  -.4268991   .3799983    -1.12   0.261    -1.171682    .3178839
 payspays_76 |   .0421084   .5722906     0.07   0.941    -1.079561    1.163777
 payspays_77 |  -.8171173   .5291014    -1.54   0.123    -1.854137    .2199023
 payspays_78 |   .7260066   .5493767     1.32   0.186     -.350752    1.802765
 payspays_79 |   -.223585   .3646154    -0.61   0.540     -.938218    .4910481
 payspays_81 |   -.162749   .7063084    -0.23   0.818    -1.547088     1.22159
 payspays_82 |  -.0171894   .3741479    -0.05   0.963    -.7505058     .716127
 payspays_83 |  -.5440491   .5396305    -1.01   0.313    -1.601706    .5136072
 payspays_85 |   .7875068   .7558044     1.04   0.297    -.6938425    2.268856
 payspays_87 |  -.0011021      .4424    -0.00   0.998    -.8681902     .865986
 payspays_88 |  -.2597645   .3750852    -0.69   0.489     -.994918    .4753891
 payspays_89 |  -.4981979   .6041108    -0.82   0.410    -1.682233    .6858375
 payspays_91 |  -.5754493   .4833499    -1.19   0.234    -1.522798    .3718992
 payspays_92 |   .3067972   .4978644     0.62   0.538    -.6689992    1.282594
 payspays_94 |    .148097   .5582068     0.27   0.791    -.9459682    1.242162
 payspays_98 |  -.1151824   .4427837    -0.26   0.795    -.9830226    .7526578
 payspays_99 |  -.3472202   .3787553    -0.92   0.359    -1.089567    .3951265
payspays_100 |   -.379256   .5455989    -0.70   0.487     -1.44861    .6900983
payspays_101 |  -.4775311   .5531306    -0.86   0.388    -1.561647    .6065849
payspays_102 |   .1153506   .3931121     0.29   0.769    -.6551351    .8858362
payspays_104 |  -.2094274   .5633458    -0.37   0.710    -1.313565      .89471
payspays_106 |   .7983733   .5877475     1.36   0.174    -.3535906    1.950337
payspays_108 |  -.2078334   .5297214    -0.39   0.695    -1.246068    .8304014
payspays_109 |  -.7103061   .5604447    -1.27   0.205    -1.808758    .3881454
payspays_112 |   .3507888   .5040677     0.70   0.486    -.6371657    1.338743
payspays_113 |   .0347608   .4741085     0.07   0.942    -.8944747    .9639963
payspays_114 |   .4954592   .3895679     1.27   0.203    -.2680799    1.258998
payspays_115 |   .0426254    .385386     0.11   0.912    -.7127174    .7979681
payspays_120 |  -.6136585   .5651483    -1.09   0.278    -1.721329    .4940118
payspays_122 |  -.0776093   .3646387    -0.21   0.831    -.7922879    .6370694
payspays_123 |   -.223721   .3838121    -0.58   0.560     -.975979    .5285369
payspays_125 |   .0607409   .4323356     0.14   0.888    -.7866212     .908103
payspays_127 |   1.103582   .6790168     1.63   0.104    -.2272667     2.43443
payspays_128 |  -.4031484   .4670614    -0.86   0.388    -1.318572    .5122751
payspays_131 |  -.2443582   .3933969    -0.62   0.535    -1.015402    .5266855
payspays_132 |  -.5499991   .4319128    -1.27   0.203    -1.396533    .2965343
payspays_133 |   .2189724   .3793025     0.58   0.564    -.5244469    .9623917
payspays_135 |   .0352904   .3704587     0.10   0.924    -.6907953    .7613762
payspays_139 |   -.943376   .4562865    -2.07   0.039    -1.837681   -.0490709
payspays_142 |   .1378792    .391886     0.35   0.725    -.6302033    .9059617
payspays_143 |   -.380093   .3950145    -0.96   0.336    -1.154307    .3941212
payspays_145 |  -.3904131   .4610068    -0.85   0.397     -1.29397    .5131437
payspays_146 |   1.187222   .8057934     1.47   0.141    -.3921042    2.766548
payspays_147 |   .1951074   .3677789     0.53   0.596    -.5257261    .9159408
payspays_148 |    .479601   .3893502     1.23   0.218    -.2835114    1.242713
payspays_149 |   .0844492   .3999894     0.21   0.833    -.6995155    .8684139
payspays_150 |  -.0324276   .3957466    -0.08   0.935    -.8080767    .7432214
payspays_152 |  -.3587903   .6551172    -0.55   0.584    -1.642796    .9252157
payspays_156 |    .365646   .4987226     0.73   0.463    -.6118323    1.343124
payspays_157 |   .0248242   .4791303     0.05   0.959     -.914254    .9639024
payspays_160 |    .991706   .8375123     1.18   0.236    -.6497879      2.6332
payspays_161 |   .0144819   .3763677     0.04   0.969    -.7231852     .752149
payspays_163 |   -.834567   .6093473    -1.37   0.171    -2.028866    .3597317
payspays_164 |   .2550268    .391716     0.65   0.515    -.5127224    1.022776
payspays_165 |  -.0974291   .3775645    -0.26   0.796    -.8374419    .6425836
payspays_167 |  -.2989321   .3768369    -0.79   0.428    -1.037519    .4396547
payspays_168 |  -.1476566   .5093319    -0.29   0.772    -1.145929    .8506157
payspays_169 |  -.4913754   .4695432    -1.05   0.295    -1.411663    .4289123
payspays_170 |  -.0074831   .3917442    -0.02   0.985    -.7752875    .7603214
payspays_171 |   .0856494   .3681469     0.23   0.816    -.6359053     .807204
payspays_172 |  -.1703754   .5617827    -0.30   0.762    -1.271449    .9306984
payspays_175 |   -.402283   .6097617    -0.66   0.509    -1.597394     .792828
payspays_177 |  -.6884542   .4380873    -1.57   0.116    -1.547089    .1701811
payspays_178 |  -.0321167   .9427086    -0.03   0.973    -1.879792    1.815558
payspays_180 |    1.59488   .9238694     1.73   0.084    -.2158712     3.40563
payspays_181 |   .5148314   .4459323     1.15   0.248    -.3591797    1.388843
payspays_182 |   .0168186   .4056698     0.04   0.967    -.7782796    .8119168
payspays_185 |   .2502124   .5471998     0.46   0.647    -.8222796    1.322704
 cpacpa_4_14 |   6.257688   .8823419     7.09   0.000      4.52833    7.987046
 cpacpa_4_15 |   6.100469   .7711386     7.91   0.000     4.589065    7.611872
 cpacpa_4_16 |   5.279444   .7403512     7.13   0.000     3.828383    6.730506
 cpacpa_4_17 |   6.103086   .7349652     8.30   0.000      4.66258    7.543591
 cpacpa_4_18 |   6.677979   .9222535     7.24   0.000     4.870395    8.485563
 cpacpa_4_19 |   5.041651   .8893443     5.67   0.000     3.298568    6.784733
 cpacpa_4_20 |   6.248089   .7567078     8.26   0.000     4.764969    7.731209
 cpacpa_4_21 |   6.272427   .7367885     8.51   0.000     4.828349    7.716506
 cpacpa_4_22 |   5.325854   .7795437     6.83   0.000     3.797976    6.853731
 cpacpa_4_23 |   6.381074   .8499245     7.51   0.000     4.715253    8.046895
 cpacpa_4_24 |   5.326559   .7372042     7.23   0.000     3.881666    6.771453
 cpacpa_4_25 |   5.931913   .8975887     6.61   0.000     4.172671    7.691154
 cpacpa_4_26 |   5.823511   .8698335     6.69   0.000     4.118668    7.528353
 cpacpa_4_28 |   6.216131   .9443734     6.58   0.000     4.365193    8.067069
 cpacpa_4_32 |   6.204014   .7918541     7.83   0.000     4.652008    7.756019
 cpacpa_4_34 |    5.95983   .9154815     6.51   0.000      4.16552    7.754141
 cpacpa_4_35 |    5.21037   .6940169     7.51   0.000     3.850122    6.570618
 cpacpa_4_37 |   5.612965   .7797698     7.20   0.000     4.084644    7.141285
 cpacpa_4_39 |   5.554057   .7045382     7.88   0.000     4.173188    6.934927
 cpacpa_4_40 |   4.844196    .716617     6.76   0.000     3.439653     6.24874
 cpacpa_4_41 |   5.039978   .7126743     7.07   0.000     3.643162    6.436793
 cpacpa_4_43 |   4.949068   .6818433     7.26   0.000     3.612679    6.285456
 cpacpa_4_44 |   5.041883   .6742364     7.48   0.000     3.720404    6.363362
 cpacpa_4_45 |   5.160674   .6997258     7.38   0.000     3.789236    6.532111
 cpacpa_4_46 |    6.04074   .6869582     8.79   0.000     4.694327    7.387154
 cpacpa_4_47 |   5.242541   .6910978     7.59   0.000     3.888014    6.597068
 cpacpa_4_48 |   6.139789   .7096512     8.65   0.000     4.748898     7.53068
 cpacpa_4_49 |   5.599514   .6724965     8.33   0.000     4.281445    6.917583
 cpacpa_4_50 |   5.529162   .6686392     8.27   0.000     4.218654    6.839671
 cpacpa_4_51 |   5.386803   .6870279     7.84   0.000     4.040253    6.733353
 cpacpa_4_52 |   4.964623   .6858348     7.24   0.000     3.620411    6.308834
 cpacpa_4_53 |   5.830318   .7556839     7.72   0.000     4.349204    7.311431
 cpacpa_4_54 |   5.609607   .6713776     8.36   0.000     4.293731    6.925483
 cpacpa_4_55 |   7.448875   .8503986     8.76   0.000     5.782125    9.115626
 cpacpa_4_56 |   5.722378   .6749697     8.48   0.000     4.399462    7.045294
 cpacpa_4_57 |   5.541724   .6879794     8.06   0.000     4.193309    6.890139
 cpacpa_4_58 |   7.005503   1.011224     6.93   0.000      5.02354    8.987466
 cpacpa_4_59 |   5.691891   .6791084     8.38   0.000     4.360863    7.022919
 cpacpa_4_60 |   6.701985   .7096446     9.44   0.000     5.311107    8.092863
 cpacpa_4_61 |   6.726665   .6734212     9.99   0.000     5.406784    8.046546
 cpacpa_4_62 |   5.555365   .7306462     7.60   0.000     4.123324    6.987405
 cpacpa_4_63 |   5.985495   .6770351     8.84   0.000     4.658531     7.31246
 cpacpa_4_64 |   5.918585   .7094935     8.34   0.000     4.528003    7.309167
 cpacpa_4_65 |   5.500341   .7505319     7.33   0.000     4.029325    6.971356
 cpacpa_4_66 |   5.304185   .6867244     7.72   0.000      3.95823     6.65014
 cpacpa_4_67 |    6.22037   .7820858     7.95   0.000      4.68751     7.75323
 cpacpa_4_68 |   5.792479    .665818     8.70   0.000       4.4875    7.097458
 cpacpa_4_69 |   5.901486   .7270996     8.12   0.000     4.476397    7.326575
 cpacpa_4_70 |   5.744126   .7646179     7.51   0.000     4.245503     7.24275
 cpacpa_4_71 |   5.502277   .7209955     7.63   0.000     4.089151    6.915402
 cpacpa_4_74 |   5.801648   .7462306     7.77   0.000     4.339062    7.264233
 cpacpa_4_75 |   6.487988   .8381588     7.74   0.000     4.845227    8.130749
 cpacpa_4_76 |   6.722927   .7008823     9.59   0.000     5.349223    8.096631
 cpacpa_4_78 |   5.296837   .6703628     7.90   0.000      3.98295    6.610724
 cpacpa_4_79 |   4.954796   .6635522     7.47   0.000     3.654258    6.255335
 cpacpa_4_80 |   5.637723   .6703183     8.41   0.000     4.323923    6.951523
 cpacpa_4_81 |   5.963354    .715135     8.34   0.000     4.561715    7.364992
 cpacpa_4_82 |   5.563143   .6808449     8.17   0.000     4.228711    6.897574
 cpacpa_4_83 |   5.399081   .6800057     7.94   0.000     4.066294    6.731867
 cpacpa_4_84 |   5.442165   .6628404     8.21   0.000     4.143022    6.741308
 cpacpa_4_85 |   4.942842   .6680265     7.40   0.000     3.633534     6.25215
 cpacpa_4_86 |   5.181909   .6868258     7.54   0.000     3.835755    6.528063
 cpacpa_4_87 |   4.997711   .6765394     7.39   0.000     3.671718    6.323704
 cpacpa_4_88 |   4.848601    .815006     5.95   0.000     3.251219    6.445983
 cpacpa_4_89 |   4.879823   .7381985     6.61   0.000     3.432981    6.326666
 cpacpa_4_90 |   4.872188   .6675947     7.30   0.000     3.563726    6.180649
 cpacpa_4_91 |   5.356585    .667425     8.03   0.000     4.048456    6.664714
 cpacpa_4_92 |   5.413633    .668052     8.10   0.000     4.104276    6.722991
 cpacpa_4_94 |   4.810703   .7035429     6.84   0.000     3.431784    6.189621
 cpacpa_4_95 |   5.270989   .6703275     7.86   0.000     3.957171    6.584807
 cpacpa_4_96 |   4.884499   .6814494     7.17   0.000     3.548883    6.220115
 cpacpa_4_97 |   5.052602   .6787142     7.44   0.000     3.722347    6.382858
 cpacpa_4_98 |   5.056383   .8490087     5.96   0.000     3.392357     6.72041
 cpacpa_4_99 |   6.253501    .813047     7.69   0.000     4.659958    7.847044
cpacpa_4_100 |   6.679729   1.155808     5.78   0.000     4.414386    8.945072
cpacpa_4_101 |   5.120993   .6807628     7.52   0.000     3.786723    6.455264
cpacpa_4_102 |   4.745332   .7819823     6.07   0.000     3.212675    6.277989
cpacpa_4_103 |   5.681664   .6777933     8.38   0.000     4.353213    7.010114
cpacpa_4_104 |   5.153232   .6837532     7.54   0.000       3.8131    6.493364
cpacpa_4_105 |   5.404684   .7103994     7.61   0.000     4.012327    6.797042
cpacpa_4_106 |    5.09381   .6873482     7.41   0.000     3.746632    6.440988
cpacpa_4_107 |   5.499253   .6600651     8.33   0.000     4.205549    6.792957
cpacpa_4_108 |   5.540397   .6590798     8.41   0.000     4.248625     6.83217
cpacpa_4_109 |   6.273926   .7034912     8.92   0.000     4.895109    7.652743
cpacpa_4_110 |   6.014187   .6868981     8.76   0.000     4.667891    7.360482
cpacpa_4_112 |   5.546484   .6617222     8.38   0.000     4.249532    6.843436
cpacpa_4_113 |   5.453092   .6806815     8.01   0.000     4.118981    6.787204
cpacpa_4_114 |     5.7782   .7139384     8.09   0.000     4.378907    7.177494
cpacpa_4_115 |   6.023351   .7495804     8.04   0.000     4.554201    7.492502
cpacpa_4_116 |    7.12708   .6982852    10.21   0.000     5.758467    8.495694
cpacpa_4_117 |   5.722308   .6878319     8.32   0.000     4.374182    7.070434
cpacpa_4_118 |   5.973555   .6664747     8.96   0.000     4.667289    7.279822
cpacpa_4_119 |   5.287737   .6895383     7.67   0.000     3.936266    6.639207
cpacpa_4_120 |    5.04415   .7991089     6.31   0.000     3.477925    6.610374
cpacpa_4_121 |   5.831589   .7087859     8.23   0.000     4.442394    7.220784
cpacpa_4_122 |   5.177847   .7795583     6.64   0.000     3.649941    6.705754
cpacpa_4_123 |   6.443713   .7213704     8.93   0.000     5.029853    7.857573
cpacpa_4_124 |   5.690216   .6648247     8.56   0.000     4.387184    6.993249
cpacpa_4_125 |   5.477501   .6604017     8.29   0.000     4.183138    6.771865
cpacpa_4_126 |   5.463862   .6571336     8.31   0.000     4.175903     6.75182
cpacpa_4_127 |   5.340567   .7007037     7.62   0.000     3.967214    6.713921
cpacpa_4_128 |    5.65514   .6538752     8.65   0.000     4.373568    6.936712
cpacpa_4_129 |   5.661359   .6776963     8.35   0.000     4.333098    6.989619
cpacpa_4_130 |   6.169013   .6826643     9.04   0.000     4.831015     7.50701
cpacpa_4_131 |   5.976857   .6516626     9.17   0.000     4.699622    7.254092
cpacpa_4_132 |   5.656902    .660384     8.57   0.000     4.362573    6.951231
cpacpa_4_133 |   6.671944   .6707775     9.95   0.000     5.357244    7.986644
cpacpa_4_134 |   5.742956     .66442     8.64   0.000     4.440717    7.045195
cpacpa_4_135 |   6.185665   .6775429     9.13   0.000     4.857705    7.513624
cpacpa_4_136 |   4.849143   .7445377     6.51   0.000     3.389876     6.30841
cpacpa_4_137 |   5.751052   .6702095     8.58   0.000     4.437465    7.064638
cpacpa_4_138 |   5.536128   .6698677     8.26   0.000     4.223211    6.849044
cpacpa_4_139 |    6.19974     .71852     8.63   0.000     4.791467    7.608014
cpacpa_4_140 |    6.43542   .7033026     9.15   0.000     5.056972    7.813868
cpacpa_4_141 |   5.687447   .6526985     8.71   0.000     4.408182    6.966713
cpacpa_4_142 |   5.262957    .661967     7.95   0.000     3.965526    6.560389
cpacpa_4_143 |   6.701085   .7301817     9.18   0.000     5.269955    8.132215
cpacpa_4_144 |   5.510591   .8246669     6.68   0.000     3.894273    7.126908
cpacpa_4_145 |   5.817244   .6599679     8.81   0.000     4.523731    7.110758
cpacpa_4_146 |    5.64488   .6563398     8.60   0.000     4.358478    6.931282
cpacpa_4_147 |   5.549416   .6581948     8.43   0.000     4.259378    6.839455
cpacpa_4_148 |   6.252486   .6697896     9.33   0.000     4.939722    7.565249
cpacpa_4_149 |   5.877472   .6570425     8.95   0.000     4.589693    7.165252
cpacpa_4_150 |   6.992619   .6810039    10.27   0.000     5.657876    8.327362
cpacpa_4_151 |    6.35461   .6736515     9.43   0.000     5.034278    7.674943
cpacpa_4_152 |   5.358257   .6753069     7.93   0.000     4.034679    6.681834
cpacpa_4_153 |   5.613375   .6801151     8.25   0.000     4.280374    6.946376
cpacpa_4_154 |   5.925098    .669517     8.85   0.000     4.612869    7.237327
cpacpa_4_155 |   4.989679   .7090409     7.04   0.000     3.599985    6.379374
cpacpa_4_156 |   7.295366   .7408645     9.85   0.000     5.843298    8.747434
cpacpa_4_157 |   5.908833   .7037755     8.40   0.000     4.529459    7.288208
cpacpa_4_158 |   5.923108   .6877433     8.61   0.000     4.575156     7.27106
cpacpa_4_159 |   5.421736   .7047669     7.69   0.000     4.040419    6.803054
cpacpa_4_160 |   5.699647   .6815002     8.36   0.000     4.363931    7.035363
cpacpa_4_161 |    5.69365   .7862031     7.24   0.000      4.15272     7.23458
cpacpa_4_162 |   6.397755   .8175752     7.83   0.000     4.795337    8.000173
cpacpa_4_163 |   5.393761   .7844752     6.88   0.000     3.856218    6.931304
cpacpa_4_164 |   6.542412   .7291187     8.97   0.000     5.113366    7.971459
cpacpa_4_165 |   5.896786   .7970245     7.40   0.000     4.334647    7.458926
cpacpa_4_166 |   6.400348   .7660022     8.36   0.000     4.899011    7.901685
cpacpa_4_167 |   5.911863   .8909515     6.64   0.000      4.16563    7.658096
cpacpa_4_168 |   6.938012          .        .       .            .           .
cpacpa_4_169 |    6.59827   .6230816    10.59   0.000     5.377053    7.819488
cpacpa_4_170 |   6.167633   .7962294     7.75   0.000     4.607052    7.728214
cpacpa_4_171 |   6.147636   .7641941     8.04   0.000     4.649843    7.645428
cpacpa_4_172 |   5.245929   .7704174     6.81   0.000     3.735939    6.755919
cpacpa_4_173 |   5.921792   .6876914     8.61   0.000     4.573942    7.269642
cpacpa_4_174 |   6.005768   .6726269     8.93   0.000     4.687443    7.324092
cpacpa_4_175 |   5.519006   .6591169     8.37   0.000     4.227161    6.810852
cpacpa_4_176 |   5.202662   .7010267     7.42   0.000     3.828675    6.576649
cpacpa_4_177 |   5.659776   .6642615     8.52   0.000     4.357848    6.961705
cpacpa_4_178 |   5.641499   .6708873     8.41   0.000     4.326584    6.956414
cpacpa_4_179 |   5.722408   .6732883     8.50   0.000     4.402787    7.042028
cpacpa_4_180 |   5.601967   .6941773     8.07   0.000     4.241405     6.96253
cpacpa_4_181 |   5.496539   .6720359     8.18   0.000     4.179373    6.813705
cpacpa_4_182 |   5.228991   .6820117     7.67   0.000     3.892273    6.565709
cpacpa_4_183 |    5.77829   .7164313     8.07   0.000     4.374111     7.18247
cpacpa_4_184 |   5.487057    .660372     8.31   0.000     4.192751    6.781362
cpacpa_4_185 |   5.954408   .7055776     8.44   0.000     4.571502    7.337315
cpacpa_4_186 |   5.633597   .6625175     8.50   0.000     4.335086    6.932107
cpacpa_4_187 |    5.36854     .66401     8.09   0.000     4.067104    6.669976
cpacpa_4_188 |   5.884661   .6693026     8.79   0.000     4.572852     7.19647
cpacpa_4_189 |    5.53495   .7048548     7.85   0.000      4.15346     6.91644
cpacpa_4_190 |   5.591486   .6942964     8.05   0.000     4.230691    6.952282
cpacpa_4_191 |   6.291314   .7026885     8.95   0.000      4.91407    7.668558
cpacpa_4_192 |   6.391317    .739131     8.65   0.000     4.942647    7.839987
cpacpa_4_193 |   5.642653   .7071181     7.98   0.000     4.256727    7.028579
cpacpa_4_194 |   5.523129   .6623316     8.34   0.000     4.224983    6.821275
cpacpa_4_195 |   5.779615   .6660451     8.68   0.000      4.47419    7.085039
cpacpa_4_196 |   5.277371   .7080913     7.45   0.000     3.889537    6.665204
cpacpa_4_197 |   5.395609   .6671906     8.09   0.000     4.087939    6.703278
cpacpa_4_198 |   5.615158   .6657298     8.43   0.000     4.310352    6.919965
cpacpa_4_199 |   5.519765   .6599031     8.36   0.000     4.226379    6.813152
cpacpa_4_200 |   5.699791    .656991     8.68   0.000     4.412112    6.987469
cpacpa_4_201 |   5.766307   .6752692     8.54   0.000     4.442803     7.08981
cpacpa_4_202 |   6.096453   .6591063     9.25   0.000     4.804628    7.388278
cpacpa_4_203 |   6.147401   .6593182     9.32   0.000     4.855162    7.439641
cpacpa_4_204 |   5.810383   .6659265     8.73   0.000     4.505191    7.115575
cpacpa_4_205 |   5.621977   .6675902     8.42   0.000     4.313524    6.930429
cpacpa_4_206 |   5.900846   .6620334     8.91   0.000     4.603284    7.198407
cpacpa_4_207 |   5.964547   .6594459     9.04   0.000     4.672056    7.257037
cpacpa_4_208 |   5.746011   .6572546     8.74   0.000     4.457815    7.034206
cpacpa_4_209 |   6.619285   .7381993     8.97   0.000     5.172441    8.066129
cpacpa_4_210 |   5.640034   .6721754     8.39   0.000     4.322594    6.957474
cpacpa_4_211 |   5.694311   .6581585     8.65   0.000     4.404344    6.984278
cpacpa_4_212 |    5.57764   .7130526     7.82   0.000     4.180082    6.975197
cpacpa_4_213 |   5.752608   .6609257     8.70   0.000     4.457218    7.047999
cpacpa_4_214 |   5.341962   .6797642     7.86   0.000     4.009649    6.674276
cpacpa_4_215 |   5.551793   .6669796     8.32   0.000     4.244537    6.859049
cpacpa_4_216 |   5.324732   .6730995     7.91   0.000     4.005482    6.643983
cpacpa_4_217 |   5.773314    .656223     8.80   0.000     4.487141    7.059488
cpacpa_4_219 |   6.086604   .6732625     9.04   0.000     4.767034    7.406174
cpacpa_4_220 |   5.745937   .6943953     8.27   0.000     4.384947    7.106927
cpacpa_4_221 |   6.295377   .6879458     9.15   0.000     4.947028    7.643726
cpacpa_4_222 |   6.013419     .66851     9.00   0.000     4.703163    7.323674
cpacpa_4_223 |   6.086571    .658348     9.25   0.000     4.796233     7.37691
cpacpa_4_224 |   6.051593   .6585423     9.19   0.000     4.760874    7.342313
cpacpa_4_225 |   6.187807   .6609105     9.36   0.000     4.892446    7.483168
cpacpa_4_226 |   6.317209   .6768298     9.33   0.000     4.990647    7.643772
cpacpa_4_227 |   5.753305   .6666785     8.63   0.000     4.446639    7.059971
cpacpa_4_228 |   5.777872   .6721852     8.60   0.000     4.460414    7.095331
cpacpa_4_229 |   5.903442   .6596422     8.95   0.000     4.610567    7.196317
cpacpa_4_230 |   6.017645   .6604775     9.11   0.000     4.723132    7.312157
cpacpa_4_231 |   5.976499   .6664601     8.97   0.000     4.670261    7.282737
cpacpa_4_232 |   6.068939   .6665495     9.11   0.000     4.762526    7.375352
cpacpa_4_233 |   6.394607   .6651528     9.61   0.000     5.090931    7.698282
cpacpa_4_234 |   5.803094   .6582322     8.82   0.000     4.512982    7.093205
cpacpa_4_235 |   6.197713   .6733387     9.20   0.000     4.877993    7.517433
cpacpa_4_236 |   5.509786   .6773455     8.13   0.000     4.182213    6.837359
cpacpa_4_237 |   6.151086   .6819624     9.02   0.000     4.814464    7.487707
cpacpa_4_238 |   5.488154   .6770545     8.11   0.000     4.161151    6.815156
cpacpa_4_239 |   6.030798   .6590315     9.15   0.000      4.73912    7.322476
cpacpa_4_240 |    5.92924   .7917917     7.49   0.000     4.377357    7.481123
cpacpa_4_241 |    5.34955   .8460696     6.32   0.000     3.691285    7.007816
cpacpa_4_242 |   6.470322   .7492784     8.64   0.000     5.001763    7.938881
cpacpa_4_243 |   5.149806   .6978269     7.38   0.000     3.782091    6.517522
cpacpa_4_244 |   6.635237   .8382472     7.92   0.000     4.992303    8.278172
cpacpa_4_245 |   6.069576   .7634734     7.95   0.000     4.573196    7.565957
cpacpa_4_246 |   6.813056   .9113048     7.48   0.000     5.026931    8.599181
cpacpa_4_247 |   5.900934   .7865822     7.50   0.000     4.359261    7.442607
cpacpa_4_248 |   5.989784   .6779874     8.83   0.000     4.660954    7.318615
cpacpa_4_249 |   6.333431   .6848712     9.25   0.000     4.991108    7.675754
cpacpa_4_250 |   5.207434    .755415     6.89   0.000     3.726848    6.688021
cpacpa_4_251 |   5.697189   .6695265     8.51   0.000     4.384941    7.009437
cpacpa_4_252 |   5.684207   .7479239     7.60   0.000     4.218303    7.150111
cpacpa_4_253 |   4.804546   .7345239     6.54   0.000     3.364906    6.244187
cpacpa_4_254 |   6.519883   .7941231     8.21   0.000     4.963431    8.076336
cpacpa_4_255 |   5.688154   .6894281     8.25   0.000       4.3369    7.039408
cpacpa_4_256 |   5.749501   .6991204     8.22   0.000     4.379251    7.119752
cpacpa_4_258 |   5.692358   .6696416     8.50   0.000     4.379885    7.004832
cpacpa_4_259 |   5.746936   .6663949     8.62   0.000     4.440826    7.053046
cpacpa_4_262 |   5.763975   .7741118     7.45   0.000     4.246744    7.281206
cpacpa_4_263 |   5.035995   .7417507     6.79   0.000      3.58219      6.4898
cpacpa_4_264 |   5.893049   .7397448     7.97   0.000     4.443176    7.342922
cpacpa_4_265 |   5.979355   .6708962     8.91   0.000     4.664422    7.294287
cpacpa_4_266 |   5.428659   .7844814     6.92   0.000     3.891104    6.966215
cpacpa_4_267 |   5.165343   .8347802     6.19   0.000     3.529204    6.801483
cpacpa_4_268 |   6.281165   .6724445     9.34   0.000     4.963198    7.599132
cpacpa_4_269 |    5.30726   .7617489     6.97   0.000     3.814259     6.80026
cpacpa_4_270 |   4.794415   .7027715     6.82   0.000     3.417008    6.171821
       _cons |  -8.800785   .9203044    -9.56   0.000    -10.60455   -6.997022
------------------------------------------------------------------------------
Note: 174 failures and 0 successes completely determined.

. mfx , var(ln_lp_tfprod2 ln_capital_intensity_firm ln_wage_based_skills_firm  IM )

Marginal effects after probit
      y  = Pr(intra_firm) (predict)
         =  .09530098
------------------------------------------------------------------------------
variable |      dy/dx    Std. Err.     z    P>|z|  [    95% C.I.   ]      X
---------+--------------------------------------------------------------------
ln_lp_~2 |   .0404834      .01087    3.72   0.000   .019173  .061794   .001345
ln_cap~m |   .0156356      .00583    2.68   0.007   .004218  .027053   3.84977
ln_wag~m |    .071339      .02875    2.48   0.013   .014991  .127687   3.14209
      IM |   .1593513      .01204   13.24   0.000    .13576  .182942   .298513
------------------------------------------------------------------------------

. outreg2 ln_lp_tfprod2 ln_capital_intensity_firm ln_wage_based_skills_firm   IM using firm_extensive.xls, mfx c
> title(all1) `instruct' append
firm_extensive.tex
firm_extensive.xls
dir : seeout

. 
. ************************************
. log close
       log:  C:\Users\Public\Documents\Old\Lavoro Gregory\intra_firm_extensive_Tables_3_to_5.log
  log type:  text
 closed on:   4 Sep 2013, 13:30:40
----------------------------------------------------------------------------------------------------------------
